CN113673819A - Comprehensive benefit evaluation method and evaluation system for biomass resource conversion and utilization - Google Patents
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Abstract
The invention discloses a comprehensive benefit evaluation method and an evaluation system for biomass resource conversion and utilization, wherein index weights of all levels of index layers are determined by combining an analytic hierarchy process according to an established comprehensive benefit evaluation index system; and (3) carrying out consistency check on the index weights, if the consistency is met, calculating to obtain a comprehensive scoring result of the benefit, otherwise, re-determining the index weights of all levels of index layers until the consistency is met, and finally, proposing a development suggestion, so that the comprehensive benefit of biomass conversion and utilization can be well evaluated.
Description
Technical Field
The invention belongs to the technical field of biomass conversion and utilization, and particularly relates to a comprehensive benefit evaluation method and an evaluation system for biomass resource conversion and utilization.
Background
With the decreasing total reserves of non-renewable energy sources such as petroleum, coal, natural gas and the like worldwide and a series of environmental problems caused by the large use of fossil energy, the search for new renewable clean alternative energy sources gradually becomes a focus of attention of countries in the world. The biomass energy refers to energy converted from biomass and other organic matters generated by photosynthesis of green plants, and can be directly used as fuel or converted into energy carriers of gaseous or liquid fuel. The biomass energy has huge potential, can be regenerated, is energy-saving and environment-friendly, and has huge effects on optimizing energy consumption structures, relieving the situation of energy supply tension, improving agricultural income, improving environmental quality and the like.
Due to the significant value that biomass energy has in terms of energy supply and environmental protection, there is currently much research on biomass conversion utilization techniques. After the application of the biomass conversion utilization technology, whether economic benefits, environmental protection benefits and other benefits are generated and whether the generated result reaches the expectation is a problem which is urgently concerned by people.
Malachi et al, Onhua, of the university of agriculture in Anhui, have disclosed a method for improving vegetable yield and economic efficiency using fire manure (CN 201510350807.2). The method mainly relates to the following modules:
firstly, before planting vegetables, treating soil with fire manure; leveling and ridging the fire manure treatment land according to the vegetable planting requirement.
Secondly, uniformly paving the straws on the soil with the square meters of 5, turning and pressing the soil with the plough layer of 0-20cm with the other 5 square meters on the straws to form a small soil pile, and keeping the straws at the periphery exposed.
Thirdly, igniting the straws exposed at the periphery, when the straws are burnt in the soil, the soil added on the straws falls down, burying the straws in the soil, reducing the burning speed of the straws in the soil, converting the straws from full burning into incomplete burning, and cleaning soil piles once every hour when part of the straws generate biomass carbon with stable properties.
And fourthly, completely removing the soil under the straws and the soil falling from the soil heap, exposing the straws at the periphery of the soil heap again, quickly burning the straws after meeting oxygen, and turning to incomplete combustion after a period of time, wherein the steps are repeated until the straws buried in the soil are completely combusted.
Fifthly, the crop straws are rice straws or wheat straws or corn straws, and the crop straws are used after being dried.
Sixthly, the water content of the soil treated by the fire manure is lower than 70% of the field water capacity.
And seventhly, applying a base fertilizer and an additional fertilizer after the soil fire manure treatment, wherein the fertilizer is a nitrogen and phosphorus fertilizer for the vegetables, and no organic fertilizer or potassium fertilizer is applied.
And eighth, the fertilizer is mixed and spread and then is turned into soil.
Ninth, the third topdressing.
The method utilizes the fire manure to improve the yield and the economic benefit of the vegetables, belongs to the technology of biomass utilization, and does not analyze and evaluate the benefit of project or technology application.
Li xi bo et al, a limited liability company for developing science and technology in nethua north lake, have published a cost-benefit optimization method and system (CN201811037433.9) based on a multi-regional energy comprehensive utilization scheme. The method mainly relates to the following modules:
firstly, collecting data of park energy sources in each stage of supply, transmission, monitoring and management, and constructing a basic data model of a park;
secondly, collecting the gas price, the electricity price and the utilization condition data of the distributed power supply in different regions, and constructing a differential data model of multiple regions;
thirdly, combining and solving the basic data model in the first step and the differentiated data model in the second step, and measuring and calculating the economic feasibility of the comprehensive utilization scheme to obtain an economic benefit measuring and calculating model;
fourthly, the economic benefit measuring and calculating model obtained in the third step is subjected to trial calculation, and the influence of each sensitive parameter of the feasible comprehensive utilization scheme on the boundary of the power price and the gas price on the Internet in the park is obtained, so that a sensitive parameter trial calculation model is obtained;
fifthly, displaying the output result of the sensitivity parameter measuring and calculating model, and comparing and displaying the economic feasibility of the same energy comprehensive utilization scheme in different areas and the most favorable sensitivity condition for energy conservation and efficiency improvement of the park;
and sixthly, selecting a service combination scheme by the user according to the solving result of the step five.
The method is not a biomass conversion utilization technology.
Disclosure of Invention
In view of the above problems, the present invention provides a method and a system for evaluating the comprehensive efficiency of biomass resource conversion and utilization, which can evaluate the comprehensive efficiency of biomass conversion and utilization.
In order to achieve the purpose, the comprehensive benefit evaluation method for biomass resource conversion and utilization, which is designed by the invention, comprises the following steps:
determining the index weight of each level of index layer by combining an analytic hierarchy process according to the established comprehensive benefit evaluation index system;
and carrying out consistency check on the index weights, if the consistency is met, calculating to obtain a comprehensive grading result of comprehensive benefits, evaluating the comprehensive benefits according to the comprehensive grading result, and otherwise, re-determining the index weights of all levels of index layers until the consistency is met.
Further, the determining of the index weight of each level of index layer according to the established comprehensive benefit evaluation index system combined with the analytic hierarchy process includes:
constructing a judgment matrix according to a comprehensive benefit evaluation index system
Wherein i is a row, j is a column, and n is the index number of each level tree; a isij≥0、aii1 and aij＝1/aji(i, j ═ 1, 2.., n); and assigning values to elements in the judgment matrix by adopting a scaling method, and calculating the index weight of each level of index layer according to the assignment result.
Further, the calculation process of the index weight is as follows:
calculating a decision matrix
Product of all elements per line:
in the formula, mi-judging the matrix
The element product in row i, i ═ 1,2,3 …, n;
aij-representing the degree of comparison of importance between the two indicators;
calculating the product miThe n-th square root:
in the formula (I), the compound is shown in the specification,
the element product m of the ith rowiThe result after being raised to the power of n, i is 1,2,3 …, n;
combining the n-th power roots corresponding to the n rows to form a vector
For vector
Normalization processing is carried out to obtain a vector theta (theta)1θ2...θn) Namely the index weight vector forming each judgment matrix.
Further, the single vector is normalized to:
further, the specific process of the index weight consistency check is as follows:
calculating a decision matrix
Maximum eigenvalue λ ofmax：
Wherein i is 1,2, …, n.
Calculating a consistency index CI:
in the formula, CI-is called a consistency index;
n-the order of the decision matrix.
Calculating a relative consistency index CR:
in the formula, RI is an average random consistency index;
if CR is less than or equal to 0.1, consistency is satisfied.
Further, consistency check is carried out on the index weight, if the consistency is met, a comprehensive scoring result of comprehensive benefits is obtained through calculation, and the method comprises the following steps:
constructing a comment set of each index in a three-level index layer in a comprehensive benefit evaluation index system; forming an evaluation set according to the relative membership degree between the comment set of each index in the three-level index layer and the three-level index; calculating an evaluation membership degree according to the evaluation set and the index weight;
wherein the set of comments S ═ { S ═ S1,s2,s3,s4,s5}
In the formula s1-indicating that the rating is excellent; s2-indicating a good rating; s3-indicating a medium rating; s4-indicating a poor rating; s5Indicating a poor rating.
Further, the specific process of forming the evaluation set by the correlation membership degree between the comment set of each index in the three-level index layer and the three-level index is as follows:
according to the middle-third level indexes of the third level index layer in the comprehensive benefit evaluation index system, collecting third level index data, calculating the numerical value of a quantitative index, estimating the realization degree of a qualitative index by combining the biomass resource conversion utilization effect, and integrating the results of the quantitative index and the qualitative index to form a basic basis for evaluation;
according to the basic basis, one index in a three-level index layer in the comprehensive benefit evaluation index system is evaluated, and the correlation membership degree between the comment set S and the evaluation index is determined, wherein the interval is [0, 1]]And the sum of the relative membership degrees of each comment set of the factor is 1, and the result can be represented by a fuzzy set:
and sequentially evaluating all indexes in the three-level index layer to form an evaluation set, wherein the evaluation set is as follows:
in the formula, p is the number of all three-level indexes in the three-level index layer;
rt 1-the degree of membership of the correlation representing the evaluation of the t tertiary index as "excellent";
rt 2-the associated degree of membership representing the tth tertiary index evaluated as "good";
rt 3-a relative degree of membership representative of the tth tertiary index rated "medium";
rt 4-a correlation membership representing the rating of the tth tertiary index as "poor";
rt 5-the associated membership representing the tth tertiary index evaluated as "poor";
and r ist 1～rt 5The sum of the values is 1 and is between 0 and 1, and the higher the value is, the higher the possibility of representing the corresponding grade is.
Further, a calculation formula for calculating the evaluation membership degree according to the evaluation set and the index weight is as follows:
wherein M-represents evaluation membership;
Rt-an evaluation membership representing the tth tertiary index;
θi-a weight representing the ith tertiary index;
p' -number of indexes for each hierarchical tree
And the final membership degree of each comment of the target layer result is obtained by reverse calculation from the three-level index to the target layer step by step.
Further, the final membership of each comment of the target layer result is converted into a quantitative index, so that the evaluation result is quantified by using a weighted average method, and the scores corresponding to the evaluation sets of [ excellent "," good "," medium "," poor "," very poor ] are respectively [100, 80, 60, 40, 20], so that the final overall benefit of biomass resource conversion and utilization is:
S＝M[1]×100+M[2]×80+M[3]×60+M[4]×40+M[5]×20
wherein M < 1 > -represents column 1 in the target layer result, representing "excellent" membership level, M < 2 > -represents column 2 in the target layer result, representing "good" membership level, M < 3 > -represents column 3 in the target layer result, representing "medium" membership level, M < 4 > -represents column 4 in the target layer result, representing "poor" membership level, and M < 5 > -represents column 5 in the target layer result, representing "poor" membership level.
Still provide a biomass resource conversion and utilize comprehensive benefits evaluation system, include:
the index weight calculation module is used for determining the index weight of each level of index layer by combining an analytic hierarchy process according to the established comprehensive benefit evaluation index system;
and the checking and comprehensive benefit evaluation module is used for checking the consistency of the index weights, calculating to obtain a comprehensive scoring result of comprehensive benefits if the consistency is met, evaluating the comprehensive benefits according to the comprehensive scoring result, and otherwise, re-determining the index weights of all levels of index layers until the consistency is met.
The invention has the advantages and benefits that: the comprehensive benefit evaluation method for biomass resource conversion and utilization comprises the steps of firstly constructing a comprehensive benefit evaluation index system for biomass resource conversion and utilization, then determining index weights between a target layer and a first-level index layer, between the first-level index layer and a second-level index layer, and between the second-level index layer and the third-level index layer based on an analytic hierarchy process, then establishing an evaluation set, determining a third-level index score, finally converting the evaluation set into the score, calculating to obtain a comprehensive benefit evaluation result for biomass resource conversion and utilization, and finally proposing a development suggestion, so that the comprehensive benefit for biomass conversion and utilization can be well evaluated.
Drawings
Fig. 1 is a diagram of the evaluation system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The comprehensive benefit evaluation method for biomass resource conversion and utilization shown in fig. 1 specifically comprises the following steps:
setting a comprehensive benefit evaluation index system for biomass resource conversion and utilization
The comprehensive benefit evaluation index system for biomass resource conversion and utilization comprises three indexes of economic benefit, environmental protection benefit and social benefit, and reflects the comprehensive benefit brought by biomass conversion and utilization. The evaluation index system is shown in table 1:
TABLE 1 evaluation index system for comprehensive benefit of biomass resource conversion and utilization
Economic benefit A: the economic benefit A1 on the enterprise side brought to enterprises and users by biomass conversion and utilization is as follows: the biomass conversion and utilization method is characterized in that economic benefit resources brought to enterprises are converted and utilized to obtain electricity profits A11: the larger the profit of power supply generated by biomass resource conversion, the better
The calculation method comprises the following steps: resource conversion electricity utilization income is the electricity price sold by the electricity generated by conversion and utilization
Resource conversion utilization gas profit A12: the larger the natural gas supply income generated by biomass resource conversion, the better the larger the natural gas supply income
The calculation method comprises the following steps: the income of the gas for resource conversion and utilization is the price of the natural gas generated by conversion and utilization and sold by the market
Resource conversion utilization thermal benefits A13: the larger the heating supply income generated by biomass resource conversion, the better the heating supply income is
The calculation method comprises the following steps: heat profit of resource conversion and utilization is equal to the price of heating area multiplied by heating
Resource conversion and utilization fertilizer income A14: the larger the fertilizer selling income generated by biomass resource conversion, the better the larger the fertilizer selling income
The calculation method comprises the following steps: the income of the fertilizer for resource conversion and utilization is the fertilizer generated by conversion and utilization and the price of the sold fertilizer.
User-side economic benefit a 2: economic benefits brought to users by biomass conversion and utilization
Biomass resource sales revenue a 21: the greater the profit of the farmer selling the biomass resource, the better
The calculation method comprises the following steps: the biomass resource sale income is the sale quantity of straws multiplied by the purchase price, the quantity of livestock and poultry excrement multiplied by the purchase price, the forest fruit waste multiplied by the purchase price
The use cost of the fertilizer is reduced by A22: the cost of using the fertilizer for farmer planting is reduced, and the larger the fertilizer, the better the fertilizer is
The calculation method comprises the following steps: the use cost of the fertilizer is reduced, namely the purchase amount of the biomass fertilizer is multiplied by the purchase price of the biomass fertilizer-the purchase cost of the historical fertilizer
The cost of the energy for life is reduced by A23: the cost of the peasant household for electricity, gas and heat is reduced, the larger the cost, the better the cost
The calculation method comprises the following steps: cost reduction of energy for daily use-cost of energy for daily use before modification
Environmental benefit B: environmental protection benefit brought by biomass conversion and utilization
Natural environment improvement benefit B1: benefits of biomass conversion and utilization on natural environment improvement
Reducing the pollutant emission of straw resources by B11: compared with the traditional treatment mode, the biomass conversion and utilization of the straw resources reduces the discharge amount of harmful gases, the more the straw resources are, the better the straw resources are
The calculation method comprises the following steps: the reduction amount of the pollutant emission of the straw resource is equal to the conversion and utilization amount of the straw resource multiplied by the unit amount of the emission reduction of the polluted gas
Livestock manure pollutant emission reduction amount B12: the more the harmful gas discharge amount of the livestock manure is reduced compared with the traditional treatment mode by biomass conversion and utilization, the better the more the harmful gas discharge amount is
The calculation method comprises the following steps: the reduction amount of the livestock feces pollutant discharge is equal to the conversion and utilization amount of the livestock feces and the emission reduction unit amount of the polluted gas
Forest and fruit waste pollutant emission reduction amount B13: the amount of harmful gas emission of forest and fruit wastes is reduced compared with the traditional treatment mode by biomass conversion and utilization, the more the forest and fruit wastes, the better
The calculation method comprises the following steps: the emission reduction amount of the forest fruit waste pollutants is equal to the conversion utilization amount of the forest fruit waste and the emission reduction unit amount of the polluted gas
Improvement of living environment beautification B14: improvement and beautification of local ecological environment by biomass conversion utilization, wherein the higher the better
The calculation method comprises the following steps: the local ecological environment is investigated and evaluated by an evaluation expert
Resource utilization optimization benefit B2: the benefit brought by the conversion and utilization of the biomass to the waste treatment
Agricultural waste treatment amount B21: the larger the treatment amount of the agricultural wastes subjected to biomass conversion and utilization, the better the treatment amount is
The calculation method comprises the following steps: the agricultural waste treatment amount is the treatment amount for converting and utilizing straw resources
Forestry waste handling capacity B22: the larger the treatment capacity of forestry waste subjected to biomass conversion and utilization, the better the treatment capacity is
The calculation method comprises the following steps: forestry waste handling capacity-forest fruit waste conversion and utilization handling capacity
Fecal waste throughput B23: the larger the treatment capacity of the fecal waste through biomass conversion and utilization, the better the treatment capacity
The calculation method comprises the following steps: the treatment amount of the excrement waste is the conversion and utilization treatment amount of the excrement of the livestock
Alternative fossil fuel usage B24: the larger the usage amount of the equivalent alternative fossil fuel after the biomass resource is converted and utilized, the better the larger the usage amount is
The calculation method comprises the following steps: the usage amount of the alternative fossil fuel is equal to the conversion coefficient of electricity/electricity coal generated by conversion and utilization, the conversion coefficient of natural gas/gas coal generated by conversion and utilization and the conversion coefficient of heat/heat medium generated by conversion and utilization
Utilization efficiency improvement level of biomass resources B25: the utilization efficiency of resources is improved by the biomass conversion utilization treatment technology, and the higher the utilization efficiency is, the better the utilization efficiency is
The calculation method comprises the following steps: evaluation of efficiency of biomass conversion utilization System by evaluation expert
And (3) social benefit C: social benefit brought to local area by biomass conversion and utilization
Experience with enhanced benefit C1: improvements in energy levels for farmers from biomass conversion utilization
Improvement level of electricity consumption by farmers C11: the improved degree of the electricity utilization mode and experience of farmers after biomass conversion and utilization is improved, the higher the electricity utilization mode is, the better the electricity utilization mode is
The calculation method comprises the following steps: evaluation is carried out by an evaluation expert after investigating local farmers
Farmer heating improvement level C12: the improvement degree of the heat utilization mode and experience of farmers after biomass conversion and utilization is improved is better if the higher the improvement degree is
The calculation method comprises the following steps: evaluation is carried out by an evaluation expert after investigating local farmers
Improvement level of farmer's air use C13: after biomass conversion and utilization is carried out, the improvement degree of gas utilization mode and experience of farmers is better as higher the gas utilization mode is
The calculation method comprises the following steps: evaluation is carried out by an evaluation expert after investigating local farmers
Economic development push benefit C2: improvement brought to regional economic development by biomass conversion and utilization
Promoting enterprise development level C21: the larger the better the help of biomass conversion utilization on the development of local biomass technology enterprises
The calculation method comprises the following steps: evaluation is carried out after enterprise is investigated by evaluation experts
Bringing social employment level C22: the biomass conversion utilizes the help of local labor employment, and the larger the better
The calculation method comprises the following steps: evaluation is carried out after enterprise employee conditions are investigated by evaluation experts
Financing tax income level C23: increase in local tax due to biomass conversion utilization, the more the better
The calculation method comprises the following steps: evaluation is carried out after enterprise tax payment and social donation are investigated by evaluation experts
Second, a judgment matrix of each level of indexes is constructed based on an analytic hierarchy process
The importance degrees of every two indexes are compared in sequence by adopting an analytic hierarchy process to construct a judgment matrix, which specifically comprises the following steps:
A. b, C construction of judgment matrix by first-level index
A1 and A2 secondary indexes in the first-level index A construct a judgment matrix
B1 and B2 secondary indexes in the first-level indexes B construct judgment matrix
C1 and C2 secondary indexes in the primary index C construct judgment matrix
A11, A12, A13 and A14 three-level indexes in the second-level indexes A1 construct judgment matrix
A21, A22 and A23 three-level indexes in the second-level indexes A2 construct judgment matrix
B11, B12, B13 and B14 three-level indexes in the second-level indexes B1 construct judgment matrix
B21, B22, B23, B24 and B25 three-level indexes in the second-level indexes B2 construct judgment matrix
C11, C12 and C13 three-level indexes in secondary index C1 construct judgment matrix
C21, C22 and C23 three-level indexes in secondary index C2 construct judgment matrix
The specific process of the judgment matrix construction is described as follows:
and assigning values to the elements of the matrix by adopting a 9-level scaling method to form a judgment matrix, wherein the scaling definition of the judgment matrix is shown in a table 2.
Table 2 decision matrix scale definition table
Referring to the scale for comparing each element in table 2, a judgment matrix is formed by sequentially comparing the importance degrees of two different indexes, and a judgment matrix of each level of index is sequentially constructed, as shown in table 3:
TABLE 3 decision matrix Table
d 1-dn is the index of each hierarchical tree, for example, the judgment matrix of the C11, C12, C13 three-level index in the two-level index is:
matrices formed by pairwise comparison
Referred to as a decision matrix. Wherein i is a row, j is a column, and n is the index number of each level tree; at the same time, aij≥0、aii1 and aij＝1/aji(i, j ═ 1, 2.., n), i.e.
Is a positive and reciprocal matrix.
Thirdly, calculating the weight of each judgment matrix index
According to the index system established in the first step, combining an analytic hierarchy process to determine the index weights of the first-level index layer, the second-level index layer and the third-level index layer, wherein the index weights are calculated in the following process:
calculating a decision matrix
Product of all elements per line:
in the formula, mi-judging the matrix
The element product in row i, i ═ 1,2,3 …, n;
aij-representing the degree of comparison of importance between the two indicators;
calculating the product miThe n-th square root:
in the formula (I), the compound is shown in the specification,
the element product m of the ith rowiThe result after being raised to the power of n, i is 1,2,3 …, n;
combining the n-th power roots corresponding to the n rows to form a vector
For vector
Normalization processing is carried out to obtain a vector theta (theta)1θ2...θn) The index weight vector forming each judgment matrix is obtained;
wherein the normalization of the single vector is as follows:
fourthly, consistency check is carried out on the index weight in the third step
Due to the judgment matrix
The elements in (1) are determined by subjective judgment, so that the elements do not necessarily have standard consistency, and further inspection is required, and the specific process is as follows:
calculating a decision matrix
Maximum eigenvalue λ ofmax：
Wherein i is 1,2, …, n.
To judgment matrix
And (3) carrying out consistency check, firstly calculating a consistency index CI:
in the formula, CI-is called a consistency index;
n-the order of the decision matrix.
The relative consistency index CR is then calculated:
in the formula, RI — average random consistency index is an average value of enough consistency indexes calculated from a judgment matrix that occurs randomly.
The RI value rule is shown in table 4:
TABLE 4 average random consistency index
The judgment criterion is as follows: if CR is less than or equal to 0.1, the consistency is met, otherwise, the element assignment of the judgment matrix needs to be adjusted, and the second step to the fourth step are repeated until the consistency is met; as can be seen from the table, the 1 st and 2 nd order decision matrices have complete consistency, and the RI value is 0, which can satisfy the consistency without calculation.
Fifthly, comment for setting evaluation index
Because the quantitative and qualitative indexes exist in the evaluation index system constructed in the step one at the same time, and the qualitative index cannot be obtained by direct calculation, the evaluation method can adopt a fuzzy comprehensive evaluation method, and the qualitative evaluation index can be quantified. The method mainly utilizes the concept of fuzzy set to give a comment set, and experts calculate or estimate conditions according to various indexes to evaluate and assign values, thereby realizing evaluation.
And setting a comment set of indexes in the three-level index layer, and carrying out fuzzy evaluation on each index. The 5 grades of 'excellent', 'good', 'medium', 'poor' and 'very poor' are selected, and the formula is as follows:
S＝{s1,s2,s3,s4,s5} (7)
in the formula s1-indicating that the rating is excellent; s2-indicating a good rating; s3-indicating a medium rating; s4-indicating a poor rating; s5Indicating a poor rating.
Sixthly, evaluation is carried out to form an evaluation set
The part firstly calculates and estimates three-level indexes, and then evaluates according to the specific conditions of the indexes to form an evaluation set.
6.1 calculating quantitative index and estimating qualitative index
The evaluation expert collects the data of the three-level indexes according to the calculation mode of the three-level indexes in the first step, calculates the numerical value of the quantitative index, estimates the realization degree of the qualitative index by combining the conversion and utilization effect of the biomass resources, and integrates the results of the quantitative and qualitative indexes to form the basic basis of evaluation;
6.2 evaluating the evaluation object according to the comment set to form an evaluation set
According to the basic basis of 6.1, firstly, one index in the three-level index layer is evaluated, the related membership degree between the evaluation set S and the evaluation object is determined, and the interval is [0, 1]]And the sum of the relative membership degrees of each comment set of the factor is 1, and the result can be represented by a fuzzy set:
and sequentially evaluating all indexes in the three-level index layer in the step one to form an evaluation set, wherein the evaluation set is as follows:
in the formula, rt 1-the degree of membership of the correlation representing the evaluation of the t tertiary index as "excellent";
rt 2-the associated degree of membership representing the tth tertiary index evaluated as "good";
rt 3-a relative degree of membership representative of the tth tertiary index rated "medium";
rt 4-a correlation membership representing the rating of the tth tertiary index as "poor";
rt 5-the associated membership representing the tth tertiary index evaluated as "poor";
and r ist 1～rt 5The sum of the values is 1 and is between 0 and 1, and the higher the value is, the higher the possibility of representing the corresponding grade is;
seventhly, calculating to obtain a comprehensive evaluation result
In order to research the comprehensive condition of the conversion and utilization benefits of the biomass resources, on the basis of completing the calculation of the index weight in the step three, the evaluation set formed in the step six is combined, and the comprehensive scoring result of the benefits is calculated by reversely calculating from the three-level index to the target layer step by step.
Calculating from the third-level index to the second-level index:
in the formula MA1-an evaluation membership representing a secondary index a 1;
MA2-an evaluation membership representing a secondary index a 2;
MB1-an evaluation membership representing a secondary index B1;
MB2-an evaluation membership representing a secondary index B2;
MC1-an evaluation membership representing a secondary index C1;
MC2-an evaluation membership representing a secondary index C2;
Rt-an evaluation membership representing the tth tertiary index;
θi-a weight representing the ith tertiary index.
Calculating from the second-level index to the first-level index:
in the formula MA-an evaluation membership representing a primary index a;
MB-an evaluation membership representing a primary index B;
MC-an evaluation membership representing a primary index C;
θA1-an index weight representing index a 1;
calculating from the first-level index to the target layer:
the target layer result M is the final membership of each comment and needs to be converted into a quantitative index, so the evaluation result M is quantified by using a weighted average method, and the scores corresponding to the evaluation sets of "excellent", "good", "medium", "poor" and "poor" are respectively [100, 80, 60, 40 and 20], so that the biomass resource conversion and utilization comprehensive benefit is finally scored as:
S＝M[1]×100+M[2]×80+M[3]×60+M[4]×40+M[5]×20 (19)
wherein M < 1 > -represents column 1 of the target layer result M, representing a "good" level of membership, M < 2 > -represents column 2 of the target layer result M, representing a "good" level of membership, M < 3 > -represents column 3 of the target layer result M, representing a "medium" level of membership, M < 4 > -represents column 4 of the target layer result M, representing a "poor" level of membership, and M < 5 > -represents column 5 of the target layer result M, representing a "poor" level of membership.
And according to the evaluation result, a development proposal of a project for promoting the conversion and utilization of the biomass resources is provided. If the score is higher, the biomass resource conversion and utilization project is proved to be more successful, and the mode can be popularized and copied; if the score is lower, the project deficiencies are further searched from the secondary indexes for improvement.
The comprehensive benefit evaluation system for biomass resource conversion and utilization shown in fig. 1 comprises:
the index weight calculation module is used for determining the index weight of each level of index layer by combining an analytic hierarchy process according to the established comprehensive benefit evaluation index system;
and the checking and comprehensive benefit evaluation module is used for checking the consistency of the index weights, calculating to obtain a comprehensive scoring result of comprehensive benefits if the consistency is met, evaluating the comprehensive benefits according to the comprehensive scoring result, and otherwise, re-determining the index weights of all levels of index layers until the consistency is met.
Specific examples are as follows:
(1) the biomass conversion utilization index evaluation system constructed by the invention is applied. (2) Determining the weight among indexes of each stage, wherein the weight result is as follows:
(3) and setting a comment set of evaluation indexes, and selecting 5 grades of 'excellent', 'good', 'medium', 'poor' and 'very poor'.
(4) The expert evaluates the evaluation object according to the comment set to form an evaluation set, which is as follows:
(5) and calculating to obtain a comprehensive evaluation result.
Calculating the target layer by the three-level indexes step by step, and multiplying the corresponding index weight by the corresponding index evaluation set to obtain a final evaluation result: the membership (excellent, good, medium, poor, very poor) is (0.4950, 0.1672, 0.3067, 0.0311, 0).
And converting the evaluation result into a score according to the score corresponding to each grade:
0.4950x100+0.1672x80+0.3067x60+0.0311x40+0x20＝82.522
(6) based on the comprehensive evaluation result, a proposal is made
The evaluation result in the present example is better, which indicates that the biomass conversion and utilization project is more successful; from the scoring result of the three-level index, the social benefit of the project is slightly insufficient, namely the effects of driving local employment, promoting enterprise development and increasing local tax are not very obvious, and the follow-up opportunity can be improved.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (10)
1. A comprehensive benefit evaluation method for biomass resource conversion and utilization is characterized by comprising the following steps: the evaluation method comprises the following steps:
determining the index weight of each level of index layer by combining an analytic hierarchy process according to the established comprehensive benefit evaluation index system;
and carrying out consistency check on the index weights, if the consistency is met, calculating to obtain a comprehensive grading result of comprehensive benefits, evaluating the comprehensive benefits according to the comprehensive grading result, and otherwise, re-determining the index weights of all levels of index layers until the consistency is met.
2. The method for evaluating the comprehensive benefits of biomass resource conversion and utilization according to claim 1, characterized in that: the method for determining the index weight of each level of index layer according to the established comprehensive benefit evaluation index system combined layer analytic hierarchy process comprises the following steps:
constructing a judgment matrix according to a comprehensive benefit evaluation index system
Wherein i is a row, j is a column, and n is the index number of each level tree; a isij≥0、aii1 and aij＝1/aji(i, j ═ 1, 2.., n); and assigning values to elements in the judgment matrix by adopting a scaling method, and calculating the index weight of each level of index layer according to the assignment result.
3. The method for evaluating the comprehensive benefits of biomass resource conversion and utilization according to claim 2, characterized in that: the calculation process of the index weight is as follows:
calculating a decision matrix
Product of all elements per line:
in the formula, mi-judging the matrix
The element product in row i, i ═ 1,2,3 …, n;
aij-representing the degree of comparison of importance between the two indicators;
calculating the product miThe n-th square root:
in the formula (I), the compound is shown in the specification,
the element product m of the ith rowiThe result after being raised to the power of n, i is 1,2,3 …, n;
combining the n-th power roots corresponding to the n rows to form a vector
For vector
Normalization processing is carried out to obtain a vector theta (theta)1θ2...θn) Namely the index weight vector forming each judgment matrix.
4. The method for evaluating the comprehensive benefits of biomass resource conversion and utilization according to claim 3, characterized in that: the normalization of a single said vector is:
5. the method for evaluating the comprehensive benefits of biomass resource conversion and utilization according to claim 2, characterized in that: the specific process of the index weight consistency check is as follows:
calculating a decision matrix
Maximum eigenvalue λ ofmax：
Wherein i is 1,2, …, n.
Calculating a consistency index CI:
in the formula, CI-is called a consistency index;
n-the order of the decision matrix.
Calculating a relative consistency index CR:
in the formula, RI is an average random consistency index;
if CR is less than or equal to 0.1, consistency is satisfied.
6. The method for evaluating the comprehensive benefits of biomass resource conversion and utilization according to claim 1, characterized in that: and carrying out consistency check on the index weight, and if the index weight meets the consistency, calculating to obtain a comprehensive scoring result of comprehensive benefits, wherein the comprehensive scoring result comprises the following steps:
constructing a comment set of each index in a three-level index layer in a comprehensive benefit evaluation index system;
forming an evaluation set according to the relative membership degree between the comment set of each index in the three-level index layer and the three-level index; calculating an evaluation membership degree according to the evaluation set and the index weight;
wherein the set of comments S ═ { S ═ S1,s2,s3,s4,s5In the formula (ii) }, wherein s1-indicating that the rating is excellent; s2-indicating a good rating; s3-indicating a medium rating; s4-indicating a poor rating; s5Indicating a poor rating.
7. The method for evaluating the comprehensive benefits of biomass resource conversion and utilization according to claim 6, wherein: the specific process of forming the evaluation set by the correlation membership degree between the comment set of each index in the three-level index layer and the three-level index is as follows:
collecting three-level index data according to three-level indexes of a three-level index layer in a comprehensive benefit evaluation index system, calculating the numerical value of a quantitative index, estimating the realization degree of a qualitative index by combining the biomass resource conversion utilization effect, and integrating quantitative and qualitative index results to form a basic basis for evaluation;
according to the basic basis, one index in a three-level index layer in the comprehensive benefit evaluation index system is evaluated, and the correlation membership degree between the comment set S and the evaluation index is determined, wherein the interval is [0, 1]]And the sum of the relative membership degrees of each comment set of the factor is 1, and the result can be represented by a fuzzy set:
and sequentially evaluating all indexes in the three-level index layer to form an evaluation set, wherein the evaluation set is as follows:
in the formula, p is the number of all three-level indexes in the three-level index layer;
rt 1-the degree of membership of the correlation representing the evaluation of the t tertiary index as "excellent";
rt 2-the associated degree of membership representing the tth tertiary index evaluated as "good";
rt 3-a relative degree of membership representative of the tth tertiary index rated "medium";
rt 4-a correlation membership representing the rating of the tth tertiary index as "poor";
rt 5-the associated membership representing the tth tertiary index evaluated as "poor";
and r ist 1～rt 5The sum of the values is 1 and is between 0 and 1, and the higher the value is, the higher the possibility of representing the corresponding grade is.
8. The method for evaluating the comprehensive benefits of biomass resource conversion and utilization according to claim 7, characterized in that: and calculating the evaluation membership according to the evaluation set and the index weight, wherein the calculation formula is as follows:
wherein M-represents evaluation membership;
Rt-an evaluation membership representing the tth tertiary index;
θi-a weight representing the ith tertiary index;
p' -number of indexes for each hierarchical tree
And the final membership degree of each comment of the target layer result is obtained by reverse calculation from the three-level index to the target layer step by step.
9. The method for evaluating the comprehensive benefits of biomass resource conversion and utilization according to claim 8, wherein: the final membership of each comment of the target layer result is converted into a quantitative index, so that the evaluation result is quantified by using a weighted average method, and the scores corresponding to the evaluation sets of 'excellent', 'good', 'medium', 'poor', 'very poor' are respectively set to be [100, 80, 60, 40, 20], so that the final score of the comprehensive benefit of biomass resource conversion and utilization is:
S＝M[1]×100+M[2]×80+M[3]×60+M[4]×40+M[5]×20
wherein M < 1 > -represents column 1 in the target layer result, representing "excellent" membership level, M < 2 > -represents column 2 in the target layer result, representing "good" membership level, M < 3 > -represents column 3 in the target layer result, representing "medium" membership level, M < 4 > -represents column 4 in the target layer result, representing "poor" membership level, and M < 5 > -represents column 5 in the target layer result, representing "poor" membership level.
10. A comprehensive benefit evaluation system for biomass resource conversion and utilization is characterized in that: the evaluation system includes:
the index weight calculation module is used for determining the index weight of each level of index layer by combining an analytic hierarchy process according to the established comprehensive benefit evaluation index system;
and the checking and comprehensive benefit evaluation module is used for checking the consistency of the index weights, calculating to obtain a comprehensive scoring result of comprehensive benefits if the consistency is met, evaluating the comprehensive benefits according to the comprehensive scoring result, and otherwise, re-determining the index weights of all levels of index layers until the consistency is met.
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