CN113642930A - Fire fighting technology service capability evaluation index system and method based on analytic hierarchy process - Google Patents
Fire fighting technology service capability evaluation index system and method based on analytic hierarchy process Download PDFInfo
- Publication number
- CN113642930A CN113642930A CN202111021777.2A CN202111021777A CN113642930A CN 113642930 A CN113642930 A CN 113642930A CN 202111021777 A CN202111021777 A CN 202111021777A CN 113642930 A CN113642930 A CN 113642930A
- Authority
- CN
- China
- Prior art keywords
- service
- fire
- fire fighting
- evaluation
- service capability
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000011156 evaluation Methods 0.000 title claims abstract description 77
- 238000000034 method Methods 0.000 title claims abstract description 72
- 230000008569 process Effects 0.000 title claims abstract description 34
- 238000005516 engineering process Methods 0.000 title claims description 14
- 239000011159 matrix material Substances 0.000 claims description 25
- 230000008520 organization Effects 0.000 claims description 19
- 238000013210 evaluation model Methods 0.000 claims description 18
- 230000008030 elimination Effects 0.000 claims description 3
- 238000003379 elimination reaction Methods 0.000 claims description 3
- 230000007246 mechanism Effects 0.000 abstract description 7
- 238000011161 development Methods 0.000 abstract description 5
- 238000012163 sequencing technique Methods 0.000 abstract description 4
- 230000001737 promoting effect Effects 0.000 abstract 1
- 238000004364 calculation method Methods 0.000 description 9
- 238000010606 normalization Methods 0.000 description 3
- 238000011160 research Methods 0.000 description 3
- 238000003326 Quality management system Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 108010046685 Rho Factor Proteins 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010219 correlation analysis Methods 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000012854 evaluation process Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 239000003550 marker Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000000513 principal component analysis Methods 0.000 description 1
- 238000011158 quantitative evaluation Methods 0.000 description 1
- 238000013468 resource allocation Methods 0.000 description 1
- 238000012502 risk assessment Methods 0.000 description 1
- 238000010998 test method Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/067—Enterprise or organisation modelling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
- G06Q50/265—Personal security, identity or safety
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Health & Medical Sciences (AREA)
- Computer Security & Cryptography (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the technical field of evaluation systems, and discloses a fire fighting technical service capability evaluation index system and method based on an analytic hierarchy process, which solve the problem that the fire fighting technical service capability is not evaluated by a comprehensive and scientific evaluation index system and method in the prior art; the invention selects proper indexes from the aspects of development of the fire-fighting technical service industry, service objects and market competition to describe the service capacity, firstly establishes an evaluation index system of the fire-fighting technical service capacity by using an analytic hierarchy process, determines index weight, and determines the sequencing of the service capacity of the fire-fighting technical service mechanisms by using a grey correlation evaluation method, thereby not only quantitatively evaluating the service capacity of the fire-fighting technical service mechanisms, but also having great significance for promoting the development of the fire-fighting technical service industry and guaranteeing social fire-fighting public safety.
Description
Technical Field
The invention relates to the technical field of evaluation systems, in particular to a fire fighting technical service capability evaluation index system and method based on an analytic hierarchy process.
Background
According to relevant industrial standards and requirements, it is specified that fire-fighting technical service organizations should meet requirements of workplace building area and the number of workers, and have a sound quality management system, but service standards and the quality management system are not specifically described.
The evaluation method is divided into subjective evaluation and objective evaluation according to the source of the use data: subjective evaluation mainly depends on the influence of subjective judgment of an evaluator, such as a fuzzy comprehensive evaluation method; objective evaluation is generally based on actual data, such as analytical methods, artificial neural network evaluation methods, and gray correlation evaluation methods. The grey correlation evaluation method is a comprehensive evaluation method based on grey correlation analysis and is characterized in that the schemes to be evaluated are compared and ranked according to the degree of correlation between the schemes to be evaluated and the optimal scheme, and ranking of evaluation results is finally obtained. On the other hand, the weight of the evaluation index has a great influence on the accuracy of the evaluation result, and can be classified into an objective weighting method, a subjective weighting method and a combined weighting method (a method for comprehensively integrating a main weighting method and an objective weighting method) according to the difference of original data sources, calculation methods and weighting processes; the objective weighting methods generally include principal component analysis, entropy method, and coefficient of variation method, etc., and the subjective weighting methods include expert evaluation, delphire method, and Analytic Hierarchy Process (AHP), etc.; the analytic hierarchy process has a good weighting effect on system indexes, particularly system indexes which are difficult to quantitatively describe, of a multi-factor complex system, and is widely applied to the fields of resource allocation, decision prediction, risk assessment and the like.
The fire-fighting technical service industry is rapidly developed, but at present, domestic and foreign documents lack the research on fire-fighting technical service capability indexes, the research on evaluation indexes in related service fields is concentrated on basic public services, community services, library services, service industry development environments and the like, the research on quantitative evaluation on the service capability of fire-fighting technical service organizations is blank, a complete index system is not provided, and an effective evaluation method is not provided; therefore, it is necessary to design a fire fighting technical service capability evaluation index system and method based on an analytic hierarchy process.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide a fire fighting technical service capability evaluation index system and method based on an analytic hierarchy process, and solves the problem that the fire fighting technical service capability is not evaluated by a comprehensive and scientific evaluation index system and method in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme: a fire fighting technical service ability evaluation index system and method based on an analytic hierarchy process comprises a fire fighting technical service ability evaluation flow based on the analytic hierarchy process, and comprises the following steps:
the method comprises the following steps: identifying basic elements of the fire fighting technical service capability evaluation, and establishing a fire fighting technical service capability evaluation model A;
step two: determining the weight of each fire fighting technical service capability evaluation index by using an Analytic Hierarchy Process (AHP);
step three: inputting acquired capability data of a fire-fighting technical service organization, and establishing a gray multi-level comprehensive evaluation model;
step four: and determining the service capability sequence of the fire fighting technical service organization according to the sequence of the degree of association.
Preferably, the basic elements influencing the service capability of the fire fighting technology comprise basic service capability, professional service capability, service operation capability and sustainable service capability; the fire fighting technology service capability evaluation model A comprises a basic service capability A1, a professional service capability A2, a service operation capability A2 and a sustainable service capability dimension A4:
the basic service capacity A1 dimension is provided with fixed assets A11, the total number A12 of detecting instruments and equipment and the basic area A13 index of a workplace; the dimension of the professional service capacity A2 is provided with indexes of registered fire-fighting engineers A21, the operators A22 of middle-level and above facilities, the contract is uploaded to an information-based system ratio A23 in time, the completion rate A24 of timely maintaining fire-fighting facilities, the on-time record service report is sent to the information-based system ratio A25, the timely elimination rate A26 of fire detector faults and the on-time arrival project site ratio A27 of technicians; the service operation capacity A3 dimension is provided with service project quantity A31, project quantity A32 with the building area of more than 4 ten thousand square meters, project amount A33 and the quantity (provincial distribution) A34 of project branch areas; the sustainability service capacity A4 dimension is provided with a project half-year average continuous rating A41, a project quantity ring ratio growth rate A42, a project amount ring ratio growth rate A43, a personnel half-year flow rate A44 and a fire department punishment number A45 in half a year;
preferably, the weight process for determining the fire fighting technical service capability evaluation index by using an Analytic Hierarchy Process (AHP) comprises the following specific steps:
s1: establishing a hierarchical system structure which is a target layer, a standard layer and an index layer respectively according to a fire fighting technical service capability evaluation model;
s2: the experts compare every two index systems to construct a judgment matrix;
s3: calculating a maximum eigenvalue and eigenvector;
s4: and (5) judging the consistency of the matrix, if so, determining the accumulated weight of the indexes of the index layer, and otherwise, adjusting the judgment matrix.
Preferably, the method for establishing the gray multilevel comprehensive evaluation model comprises the following specific steps:
the method comprises the following steps: determining a comparison number series (evaluation object Xi) and a reference number series (evaluation standard X0);
step two: normalizing the index value;
step three: calculating a grey correlation coefficient;
step four: calculating gray weighted association degree and establishing gray association degree;
step five: and analyzing the evaluation result.
The invention has the technical effects and advantages that:
aiming at the problem that the fire fighting technical service capacity is evaluated without a comprehensive and scientific evaluation index system and method in the prior art, the invention combines an Analytic Hierarchy Process (AHP) and a grey correlation evaluation method, evaluates and sequences the service capacity of each fire fighting technical organization in real time according to the actual operation data of the fire fighting technical service organization, can find out important factors influencing the service capacity, helps the fire fighting technical service organization to pertinently improve the short board of the fire fighting technical service organization, improves the service capacity, is beneficial to social units to select higher-quality technical service enterprises, provides data support and decision basis for the fire fighting departments to accurately supervise and inspect the service organizations, promotes the healthy and ordered development of the fire fighting technical service industry, lays a good foundation for the next step of establishing a credit evaluation system of the fire fighting technical service organization, and detects the fire fighting facilities by the entrustment of the social units, Maintenance and safety evaluation, and the service capability of the system has great influence on guaranteeing the fire safety of cities.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of the service capability evaluation process of the fire fighting technology based on the analytic hierarchy process of the present invention;
FIG. 2 is a schematic diagram of a fire fighting technology service capability evaluation model according to the present invention;
FIG. 3 is a schematic flow chart of determining fire fighting technical service capability evaluation index weight by using an analytic hierarchy process AHP according to the present invention;
FIG. 4 is a schematic flow chart of a gray correlation evaluation method according to the present invention;
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the 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.
Example 1
Referring to fig. 1 to 4, a fire fighting technical service ability evaluation index system and method based on an analytic hierarchy process includes a fire fighting technical service ability evaluation flow based on an analytic hierarchy process, including the following steps:
the method comprises the following steps: identifying basic elements of the fire fighting technical service capability evaluation, and establishing a fire fighting technical service capability evaluation model A;
step two: determining the weight of each fire fighting technical service capability evaluation index by using an Analytic Hierarchy Process (AHP);
step three: inputting acquired capability data of a fire-fighting technical service organization, and establishing a gray multi-level comprehensive evaluation model;
step four: and determining the service capability sequence of the fire fighting technical service organization according to the sequence of the degree of association.
Referring to fig. 1 and 2, the basic elements affecting the service ability of the fire fighting technology include basic service ability, professional service ability, service operation ability and sustainable service ability; the fire fighting technology service capability evaluation model A comprises a basic service capability A1, a professional service capability A2, a service operation capability A2 and a sustainable service capability dimension A4:
the basic service capacity A1 dimension is provided with fixed assets A11, the total number A12 of detecting instruments and equipment and the basic area A13 index of a workplace; the dimension of the professional service capacity A2 is provided with indexes of registered fire-fighting engineers A21, the operators A22 of middle-level and above facilities, the contract is uploaded to an information-based system ratio A23 in time, the completion rate A24 of timely maintaining fire-fighting facilities, the on-time record service report is sent to the information-based system ratio A25, the timely elimination rate A26 of fire detector faults and the on-time arrival project site ratio A27 of technicians; the service operation capacity A3 dimension is provided with service project quantity A31, project quantity A32 with the building area of more than 4 ten thousand square meters, project amount A33 and the quantity (provincial distribution) A34 of project branch areas; the sustainability service capacity A4 dimension is provided with a project half-year average continuous rating A41, a project quantity ring ratio growth rate A42, a project amount ring ratio growth rate A43, a personnel half-year flow rate A44 and a fire department punishment number A45 in half a year;
building a three-layer evaluation index system with four dimensions of basic service capacity, professional service capacity, service operation capacity and sustainable service capacity by combining the knowledge type and professional technology type characteristics of fire-fighting technical service; the fire fighting technical service capacity is a target layer, the basic service capacity, the professional service capacity, the service operation capacity and the sustainable service capacity are criterion layers, and the third layer is a marker layer. According to the notice about starting a new edition of the fire-fighting technical service information system issued by the fire-fighting rescue bureau of the emergency management department at present, the fire-fighting technical service organization needs to independently input project contract information in the fire-fighting technical service information system, and upload a recording report to the fire-fighting technical service information system within 5 working days after the completion of technical service work to complete filing, so that the ratio of contract uploading to an information system in time and the ratio of filing report to informatization on time are important indexes for measuring professional service capacity.
Referring to fig. 1 and 3, the specific steps of the weight process for determining the service capability evaluation index of the fire fighting technology by using the Analytic Hierarchy Process (AHP) are as follows:
s1: establishing a hierarchical system structure which is a target layer, a standard layer and an index layer respectively according to a fire fighting technical service capability evaluation model;
s2: the experts compare every two index systems to construct a judgment matrix;
s3: calculating a maximum eigenvalue and eigenvector;
s4: judging the consistency of the matrix, if so, determining the accumulated weight of the indexes of the index layer, and if not, adjusting the judgment matrix;
(1) the experts compare every two index systems to construct a judgment matrix;
supposing that n elements A1, A2, … and An of a certain layer are compared to influence of a certain factor of a previous layer, two elements Ai and Aj are taken out each time, aij is used for expressing the ratio of the influence of the elements Ai and Aj on the certain factor of the previous layer, and the comparison result forms a judgment matrix;
the value assigned to aij is scaled from 1 to 9, and satisfies that aij is 1,
(i, j ═ 1,2, … n), the scale values are given in the following table:
(2) calculating the relative weight of each element; for the calculation of the weight, a root method is adopted, and the calculation steps are as follows:
calculating the element product mj of each row of the judgment matrix:
calculating the n square root ω i of mi:
put vector W ═ ω 1, ω 2, …, ω n)TNormalization, namely:
calculating the maximum eigenvalue λ max of the judgment matrix a:
(3) checking the consistency of the judgment matrix; the test method comprises the following steps:
defining the consistency ratio c.r. of the decision matrix a:
wherein, c.i. is a compatibility index of the matrix, which is used to measure and judge the inconsistency of the matrix, and the calculation formula is:
R.i. is an average random consistency index of a randomly constructed positive and negative matrix, whose expression is:
the following table gives the r.i. values and calculation results for a sample capacity of 1000; generally speaking, R.I. is less than or equal to 0.10, the judgment matrix A can be considered to have consistency, the weight set calculated according to the consistency can be accepted, otherwise, the judgment matrix is required to be adjusted
| n | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
| R.I. | 0 | 0 | 0.52 | 0.89 | 1.12 | 1.24 | 1.32 | 1.41 | 1.45 |
(4): determining the accumulated weight of the index layer;
after the relative weight of each index in the hierarchy and the category to which the index belongs is calculated, the accumulated weight of all the evaluation indexes to the total target is determined by adopting a weight product mode:
Wci＝ωAkωBjωCi
in the formula:
wci — cumulative weight of index Ci;
ωAk-the relative weight of the target layer index Ak at the target layer;
ωBj-the relative weight of the criterion layer index Bj at the criterion layer;
ωCi-relative weight of index layer index Ci at index layer.
Referring to fig. 1 and 4, the method for establishing the gray multi-level comprehensive evaluation model specifically comprises the following steps:
the method comprises the following steps: determining a comparison number series (evaluation object Xi) and a reference number series (evaluation standard X0);
step two: normalizing the index value;
step three: calculating a grey correlation coefficient;
step four: calculating gray weighted association degree and establishing gray association degree;
step five: analyzing the evaluation result;
(1) determining an optimal index set V0；
Let i be a serial number of a fire protection technology service organization (hereinafter referred to as an "organization") to be evaluated, i is 1, 2. k is the number of the evaluation index, and k is 1, 2.., p; vik is the value of the kth evaluation index of the ith organization; for a system with s schemes and p evaluation indexes, the matrix is as follows:
obtaining the optimal value vOk of each evaluation index to obtain an optimal index set V0(═ Vo1, Voz, …, Vop); if the index is larger, the index is better, and the maximum value of the index in each detection mechanism is an optimal value; if the smaller the index is, the better the index is, the minimum value of the index in each detection mechanism is the optimal value;
(2) normalizing the index value;
because of having different dimensions, the index values cannot be directly compared, and the original data of the index needs to be normalized; the formula is as follows:
the matrix obtained by normalization is as follows:
(3) calculating a correlation coefficient;
taking the optimal index set X0 after normalization as a reference sequence, Xi＝{Xi1，Xi2，…XipAs a comparison sequence, the correlation coefficient calculation formula is as follows:
the correlation coefficient matrix is obtained by calculation with a formula as follows:
in the formula: epsilonikA correlation coefficient of the kth evaluation index and the kth optimal evaluation index of the ith mechanism; rho is the resolution factor, rho is the [0, 1 ]]Generally, ρ is 0.5;
(4) calculating the grey correlation degree;
the relevance calculating method adopts the product of the weight and the relevance coefficient. According to each index weight w obtained by using the AHP, the correlation calculation formula is as follows:
R＝(r1，r2，…rs)＝WET
when degree of association riMaximum, Xik is closest to the optimal set of metrics XOk, indicating that the ith organization is due to other organizations; when indexes in the evaluation index system are divided into different layers, firstly, the relevance degree of the index at the bottommost layer is calculated, then, the evaluation result Rk of the layer is used as the original index of the previous layer, and the calculation is repeated in a circulating mode until the highest layer is reached;
(5) carrying out comprehensive evaluation sequencing;
the rank is carried out according to the rank of the relevance ri (i is 1,2, …, s), and the rank of the relevance is the rank of the service capability of the organization.
The working principle is as follows: the invention provides a fire fighting technical service ability evaluation index system and method based on an analytic hierarchy process, which comprises the steps of firstly establishing a fire fighting technical service ability evaluation model A by identifying basic elements of fire fighting technical service ability evaluation, then determining the weight of each fire fighting technical service ability evaluation index by using an Analytic Hierarchy Process (AHP), then establishing a gray multi-level comprehensive evaluation model by inputting acquired fire fighting technical service organization ability data, and determining the service ability sequencing of fire fighting technical service organizations according to the relevance degree, thus, by combining the analytic hierarchy process AHP and the gray correlation evaluation method, evaluating and sequencing the service ability of each fire fighting technical organization in real time according to the actual operation data of the fire fighting technical service organizations, finding important factors influencing the service ability and helping the fire fighting technical service organizations to pertinently improve self short boards, the service capability is improved, social units can select high-quality technical service enterprises, data support and decision basis are provided for fire departments to carry out accurate supervision and inspection on service mechanisms, healthy and orderly development of the fire technical service industry is promoted, and a good foundation is laid for establishing a credit evaluation system of the fire technical service mechanisms in the next step.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments or portions thereof without departing from the spirit and scope of the invention.
Claims (4)
1. A fire fighting technical service ability evaluation index system and method based on an analytic hierarchy process comprises a fire fighting technical service ability evaluation flow based on the analytic hierarchy process, and is characterized in that: comprises the following steps:
the method comprises the following steps: identifying basic elements of the fire fighting technical service capability evaluation, and establishing a fire fighting technical service capability evaluation model A;
step two: determining the weight of each fire fighting technical service capability evaluation index by using an Analytic Hierarchy Process (AHP);
step three: inputting acquired capability data of a fire-fighting technical service organization, and establishing a gray multi-level comprehensive evaluation model;
step four: and determining the service capability sequence of the fire fighting technical service organization according to the sequence of the degree of association.
2. The analytic hierarchy process-based fire fighting technical service capability evaluation index system and method as claimed in claim 1, wherein: the basic elements influencing the service capability of the fire fighting technology comprise basic service capability, professional service capability, service operation capability and sustainable service capability; the fire fighting technology service capability evaluation model A comprises a basic service capability A1, a professional service capability A2, a service operation capability A2 and a sustainable service capability dimension A4:
the basic service capacity A1 dimension is provided with fixed assets A11, the total number A12 of detecting instruments and equipment and the basic area A13 index of a workplace; the dimension of the professional service capacity A2 is provided with indexes of registered fire-fighting engineers A21, the operators A22 of middle-level and above facilities, the contract is uploaded to an information-based system ratio A23 in time, the completion rate A24 of timely maintaining fire-fighting facilities, the on-time record service report is sent to the information-based system ratio A25, the timely elimination rate A26 of fire detector faults and the on-time arrival project site ratio A27 of technicians; the service operation capacity A3 dimension is provided with service project quantity A31, project quantity A32 with the building area of more than 4 ten thousand square meters, project amount A33 and the quantity (provincial distribution) A34 of project branch areas; the sustainability services capability A4 dimension is provided with a project half-year average renewal rate A41, a project quantity ring ratio growth rate A42, a project amount ring ratio growth rate A43, a person half-year flow rate A44 and a half-year punishment number A45 by the fire department.
3. The analytic hierarchy process-based fire fighting technical service capability evaluation index system and method as claimed in claim 1, wherein: the weight process for determining the service capability evaluation index of the fire fighting technology by using an Analytic Hierarchy Process (AHP) comprises the following specific steps:
s1: establishing a hierarchical system structure which is a target layer, a standard layer and an index layer respectively according to a fire fighting technical service capability evaluation model;
s2: the experts compare every two index systems to construct a judgment matrix;
s3: calculating a maximum eigenvalue and eigenvector;
s4: and (5) judging the consistency of the matrix, if so, determining the accumulated weight of the indexes of the index layer, and otherwise, adjusting the judgment matrix.
4. The analytic hierarchy process-based fire fighting technical service capability evaluation index system and method as claimed in claim 1, wherein: the method for establishing the gray multi-level comprehensive evaluation model comprises the following specific steps of:
the method comprises the following steps: determining a comparison number series (evaluation object Xi) and a reference number series (evaluation standard X0);
step two: normalizing the index value;
step three: calculating a grey correlation coefficient;
step four: calculating gray weighted association degree and establishing gray association degree;
step five: and analyzing the evaluation result.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2021100215535 | 2021-01-08 | ||
| CN202110021553 | 2021-01-08 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113642930A true CN113642930A (en) | 2021-11-12 |
Family
ID=78424855
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111021777.2A Pending CN113642930A (en) | 2021-01-08 | 2021-09-01 | Fire fighting technology service capability evaluation index system and method based on analytic hierarchy process |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113642930A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107506927A (en) * | 2017-08-25 | 2017-12-22 | 四川智消科技有限公司 | The method and its system being managed to the Back ground Information of fire-fighting Technology Service Institutions |
| CN107633337A (en) * | 2016-07-21 | 2018-01-26 | 南瑞（武汉）电气设备与工程能效测评中心 | Based on order relation analysis and grey correlation theory power-saving technology integrated evaluating method |
| CN107895232A (en) * | 2017-11-07 | 2018-04-10 | 博康智能信息技术有限公司 | A kind of fire brigade's fire extinguishing disaster relief efficiency estimation method |
| CN110111024A (en) * | 2019-05-21 | 2019-08-09 | 南方电网科学研究院有限责任公司 | Scientific and technological achievement market valuation method based on AHP model of fuzzy synthetic evaluation |
| CN110555624A (en) * | 2019-09-10 | 2019-12-10 | 合肥工业大学 | power grid dispatching operation comprehensive evaluation method considering index correlation |
-
2021
- 2021-09-01 CN CN202111021777.2A patent/CN113642930A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107633337A (en) * | 2016-07-21 | 2018-01-26 | 南瑞（武汉）电气设备与工程能效测评中心 | Based on order relation analysis and grey correlation theory power-saving technology integrated evaluating method |
| CN107506927A (en) * | 2017-08-25 | 2017-12-22 | 四川智消科技有限公司 | The method and its system being managed to the Back ground Information of fire-fighting Technology Service Institutions |
| CN107895232A (en) * | 2017-11-07 | 2018-04-10 | 博康智能信息技术有限公司 | A kind of fire brigade's fire extinguishing disaster relief efficiency estimation method |
| CN110111024A (en) * | 2019-05-21 | 2019-08-09 | 南方电网科学研究院有限责任公司 | Scientific and technological achievement market valuation method based on AHP model of fuzzy synthetic evaluation |
| CN110555624A (en) * | 2019-09-10 | 2019-12-10 | 合肥工业大学 | power grid dispatching operation comprehensive evaluation method considering index correlation |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106940833A (en) | A kind of power grid enterprises' sale of electricity side methods of risk assessment based on fuzzy number and improved AHP method | |
| CN111582718A (en) | Cable channel fire risk assessment method and device based on network analytic hierarchy process | |
| CN111950918A (en) | Market risk assessment method based on electric power transaction data | |
| CN108898311A (en) | A kind of data quality checking method towards intelligent distribution network repairing dispatching platform | |
| CN115018384A (en) | Building site security risk assessment method and system | |
| Ferro et al. | Efficient courts? A frontier performance assessment | |
| CN111401784B (en) | Fire safety grade assessment method | |
| Chang et al. | Critical review of previous studies on labor productivity loss due to overtime | |
| Mihuandayani et al. | Decision Support System for Employee Recruitment of A Company Using Multi Attribute Utility Theory | |
| Watts | Fire risk assessment using multiattribute evaluation | |
| CN103646189B (en) | Comprehensive evaluation method for microorganism capacity verifying results | |
| CN114862267A (en) | Evaluation method and system of oil and gas pipeline alarm management system | |
| CN114021915A (en) | Electrical fire risk assessment method based on improved balance weight and variable fuzzy set | |
| Velychko et al. | A comparative analysis of results of the group expert assessment of metrological assurance of measurements | |
| CN113327062A (en) | Information grade determining method and device, computer equipment and storage medium | |
| CN112288593A (en) | Evaluation data processing method, device and medium for power grid emergency system | |
| CN113642930A (en) | Fire fighting technology service capability evaluation index system and method based on analytic hierarchy process | |
| CN112434931A (en) | Evaluation method for operation index of measurement management system | |
| CN115953046A (en) | Method for evaluating comprehensive capability of 10kV distribution network uninterrupted operating personnel | |
| Chen et al. | A comprehensive evaluation of power suppliers | |
| CN118095861A (en) | Quantitative risk evaluation method for building structure based on gray correlation degree and analytic hierarchy process | |
| De-long | Research and practice of customer satisfaction evaluation of railway equipment manufacturing enterprises | |
| CN116228030A (en) | Method and system for evaluating development feasibility level of green mine | |
| CN115222191A (en) | Standardized operation management evaluation method for small reservoir | |
| JAVA | ICMEM |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |