CN102903064A

CN102903064A - Renting deciding method and system

Info

Publication number: CN102903064A
Application number: CN2012103842055A
Authority: CN
Inventors: 宋剑; 鲁莉
Original assignee: Individual
Current assignee: Individual
Priority date: 2012-10-11
Filing date: 2012-10-11
Publication date: 2013-01-30

Abstract

The invention discloses a method for deciding renting, which comprises the steps of: selecting factors which can affect a renting decision; grading by a 0-1 grading method and calculating weights of the various factors; grading house source information to be compared, calculating scores of various house sources, and making a decision depending on the calculating result. Furthermore, the invention discloses a renting deciding system made by the principle of the method.

Description

The decision-making technique of renting a house and system

Technical field

This method and system are applicable to the decision-making of renting a house widely, help tenant's decision-making of renting a house by forms such as computer software, internet, applications, portable terminal (smart mobile phone etc.) application.

Background technology

The method or the instrument that do not have on the market at present a kind of relatively science help the tenant to make the decision-making of reasonably renting a house, and tenant's the decision-making of renting a house mainly all is to carry out according to subjective assessment.If source of houses situation has a long way to go, such decision-making is easy to make; If but some source of houses situation is more similar, quality, the condition that the tenant often faces a difficult selection are arranged respectively perhaps.

Summary of the invention

Can't science objectively select suitable this problem of house in order to solve the tenant according to subjective decision, originally the decision-making technique of renting a house and system give a mark and the weighting assignment by the series of factors of decision-making that impact is rented a house, afterwards each source of houses is given a mark by project, do the last decision-making of renting a house by score at last.The method for the tenant provide one reliable, rationally, the decision-making foundation of renting a house of science.

The method key step is:

One, determines the factor that impact is rented a house and made a strategic decision

The rent a house factor of decision-making of impact mainly is divided into: traffic, price, hardware condition (room general layout, structure etc.), software condition (household electrical appliances, furniture, etc.), totally four large classes.Each large class is divided into again some groups, shown in the table specific as follows:

Two, every decision factor is weighted

Use the 0-1 point system to give a mark above-mentioned every factor, and calculate every factor and get weight.Namely contrast one by one marking according to each factor significance level, important made 1 score, relatively unessential making 0 score, and the own not score of comparing with oneself is with " * " expression.For avoiding unessential factor to draw a blank, each factor cumulative score can be added 1 minute and revise, remove respectively each factor cumulative score with revised total points and namely obtain the factor important coefficient.

Three, every factor of each source of houses is given a mark

Be every factor marking of each source of houses, minimum minute 1 minute, best result 10 minutes.

Four, calculate each source of houses score

Corresponding weight is multiply by in the marking of each factor and addition draws final score.

Five, make a policy according to scores

Score according to last each source of houses is made last decision-making, and the source of houses that score is higher more has advantage.

Description of drawings

It more than is the introduction to the decision system method of renting a house.The decision system of renting a house based on the method can realize with forms such as computer software, internet, applications, mobile intelligent terminal application.The below is applied as example with smart mobile phone, is described further by reference to the accompanying drawings.

Fig. 1 is step 1, is affected the factor of the decision-making of renting a house by user selection

Fig. 2 contrasts one by one to every factor

Fig. 3 is input source of houses essential information

Fig. 4 gives a mark successively to each source of houses factor

Fig. 5 begins relatively or adds new information of real estate

Fig. 6 comparative result

Embodiment

In Fig. 1, the tenant chooses the factor of the decision-making of can affect oneself renting a house, and also can click other factors that do not have in the add-on system, after selection is finished click next step;

Among Fig. 2, system can according to before selection, the form that the factor of having selected is two group occurs, the tenant clicks the important project of selecting.After all factor was relatively finished, system can calculate the weight of every factor automatically;

Among Fig. 3, adding needs information of real estate relatively;

Among Fig. 4, every factor of each source of houses is given a mark, fractional value 1-10 divides;

Among Fig. 5, click and select to begin relatively or add the new source of houses;

Among Fig. 6, system automatically calculates PTS and the ordering of each source of houses and recommends.

Claims

1. the method for the decision-making that is used for renting a house, then the factor of at first selecting impact to rent a house and make a strategic decision is used the 0-1 point system to give a mark and is calculated every factor weight, and the information of real estate that needs compare is given a mark, calculate each source of houses score, make a policy according to result of calculation.

2. decision system of renting a house of making according to the said method principle.

3. the 0-1 point system is applied to the decision system of renting a house.