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CN-121998685-A - Decision suggestion generation method and device for adding site service

CN121998685ACN 121998685 ACN121998685 ACN 121998685ACN-121998685-A

Abstract

A method and a device for generating decision advice of increased site service, the method comprises the steps of obtaining quantized data corresponding to each service item to be increased, including demand data, competitive data, target site capability data and cost benefit data, carrying out fuzzification processing on the quantized data to obtain a fuzzy set group G 1 corresponding to the demand data, obtaining a fuzzy set group G 2 corresponding to the competitive data, obtaining a fuzzy set group G 3 corresponding to the target site capability data, obtaining a fuzzy set group G 4 corresponding to the cost benefit data, carrying out fuzzy logic reasoning on the fuzzy set group G 1 、G 2 、G 3 、G 4 corresponding to the service item to be increased to generate decision advice corresponding to the service item to be increased, and carrying out fuzzy logic reasoning according to market dynamic demand, competitive environment, operation capability and benefit, thereby reducing complexity and uncertainty of market environment and providing accurate and scientific decision advice of increased site service.

Inventors

  • ZHANG LEI
  • Ding Shaoheng
  • WEI ZHAO
  • Luo Yantuo
  • GAO LUYING
  • TANG XIANGHUA
  • ZHANG HONGYU

Assignees

  • 中国石油天然气股份有限公司

Dates

Publication Date
20260508
Application Date
20241101

Claims (10)

  1. 1. A method for generating decision advice for adding site services, comprising: Acquiring a service set to be selected of a target site, wherein the service set to be selected comprises a plurality of service items to be added of the target site; Executing the following steps for each service item to be added: Obtaining quantized data corresponding to the service item to be added, wherein the quantized data comprises demand data, competitive data, target site capacity data and cost benefit data; The quantized data corresponding to the service item to be added is subjected to fuzzification processing to obtain a membership degree array D 1 and a fuzzy set group G 1 corresponding to the demand data, a membership degree array D 2 and a fuzzy set group G 2 corresponding to the competitive data, a membership degree array D 3 and a fuzzy set group G 3 corresponding to the target site capability data and a membership degree array D 4 and a fuzzy set group G 4 corresponding to the cost benefit data; And carrying out fuzzy logic reasoning on the fuzzy aggregation group G 1 、G 2 、G 3 、G 4 corresponding to the service item to be added to generate a decision suggestion corresponding to the service item to be added.
  2. 2. The method for generating decision advice of additionally providing site services of claim 1, wherein the obtaining the set of candidate services for the target site comprises: Acquiring an existing service set of all stations in a target area and a service demand set of a customer group in the target area, wherein the target station is positioned in the target area, the existing service set comprises the existing service items of all stations in the target area, and the service demand set comprises the service items of the customer group demands in the target area; And calculating a union set of the existing service set and the service demand set, removing the existing service items of the target site from the service items contained in the union set, and then forming the rest service items into the service set to be selected.
  3. 3. The method for generating decision advice of an additional site service according to claim 1, wherein the obtaining the quantized data corresponding to the service item to be added, the quantized data including demand data, competitive data, target site capability data, and cost benefit data, comprises: acquiring a demand parameter of the service item to be added, inputting the demand parameter into a first formula for calculation, and taking the calculated value as the demand data corresponding to the service item to be added, wherein the demand parameter comprises the total demand frequency of the service item to be added, the demand frequency corresponding to each season and the economic prospect air degree value; The competitive parameter of the service item to be added is obtained, the competitive parameter is input into a second formula to be calculated, the calculated value is used as the competitive data corresponding to the service item to be added, and the competitive parameter comprises market share of the service item to be added, service quality data of a competitor, service pricing data and customer satisfaction data; acquiring target site parameters of the service item to be added, inputting the target site parameters into a third formula for calculation, and taking the calculated values as the target site capacity data corresponding to the service item to be added, wherein the target site parameters comprise target site area data, human resource data and current facility data; And acquiring a cost benefit parameter of the service item to be added, inputting the cost benefit parameter into a fourth formula for calculation, and taking the calculated value as the cost benefit data corresponding to the service item to be added, wherein the cost benefit parameter comprises initial investment cost, annual operation cost and expected annual benefit.
  4. 4. The method for generating decision advice of additional site service according to claim 1, wherein the blurring process is performed on the quantized data corresponding to the service item to be added to obtain a membership array D 1 and a fuzzy set group G 1 corresponding to the requirement data, and the method comprises: Inputting the requirement data corresponding to the service item to be added into preset membership functions F 11 、F 12 、F 13 respectively to obtain corresponding membership degrees D 11 、D 12 、D 13 ; If D 11 is not equal to 0, setting the corresponding relation between the service item to be added and D 11 in a preset fuzzy set G 11 , if D 12 is not equal to 0, setting the corresponding relation between the service item to be added and D 12 in a preset fuzzy set G 12 , and if D 13 is not equal to 0, setting the corresponding relation between the service item to be added and D 13 in a preset fuzzy set G 13 ; wherein the membership degree array D 1 includes D 11 、D 12 and D 13 , the fuzzy set group G 1 includes the fuzzy sets G 11 、G 12 and G 13 , the membership function of the fuzzy set G 11 is F 11 , the membership function of the fuzzy set G 12 is F 12 , and the membership function of the fuzzy set G 13 is F 13 ; the membership function F 11 is a membership degree D 11 =A 1 if the demand data is more than or equal to X 1 , a membership degree D 11 =A 2 if X 2 is less than or equal to the demand data < X 1 , and a membership degree D 11 =A 3 if the demand data is less than or equal to X 2 , wherein 1 is more than or equal to A 1 ＞A 2 ＞A 3 is more than or equal to 0; The membership function F 12 is a membership degree D 12 =A 4 if the demand data is more than or equal to X 1 , a membership degree D 12 =A 5 if X 2 is less than or equal to the demand data < X 1 , and a membership degree D 12 =A 6 if the demand data is less than or equal to X 2 , wherein 1 is more than or equal to A 5 ＞A 4 ≥0,1≥A 5 ＞A 6 is more than or equal to 0; The membership function F 13 is a membership degree D 13 =A 7 if the demand data is more than or equal to X 1 , a membership degree D 13 =A 8 if X 2 is less than or equal to the demand data < X 1 , and a membership degree D 13 =A 9 if the demand data is less than or equal to X 2 , wherein 1 is more than or equal to A 9 ＞A 8 ＞A 7 is more than or equal to 0; X 1 and X 2 are preset demand thresholds, and X 1 ＞X 2 .
  5. 5. The method for generating decision advice of additional site service according to claim 1, wherein the blurring process is performed on the quantized data corresponding to the service item to be added to obtain a membership array D 2 and a fuzzy set group G 2 corresponding to the competitive data, comprising: Inputting the competitive data corresponding to the service item to be added into a preset membership function F 21 、F 22 、F 23 respectively to obtain the corresponding membership degree D 21 、D 22 、D 23 ; If D 21 is not equal to 0, setting the corresponding relation between the service item to be added and D 21 in a preset fuzzy set G 21 , if D 22 is not equal to 0, setting the corresponding relation between the service item to be added and D 22 in a preset fuzzy set G 22 , and if D 23 is not equal to 0, setting the corresponding relation between the service item to be added and D 23 in a preset fuzzy set G 23 ; Wherein the membership degree array D 2 includes D 21 、D 22 and D 23 , the fuzzy set group G 2 includes the fuzzy sets G 21 、G 22 and G 23 , the membership function of the fuzzy set G 21 is F 21 , the membership function of the fuzzy set G 22 is F 22 , and the membership function of the fuzzy set G 23 is F 23 ; The membership function F 21 is that membership degree D 21 =B 1 is equal to or greater than X 3 if the competitive data is equal to or greater than X 4 , membership degree D 21 =B 2 is equal to or greater than the competitive data < X 3 , membership degree D 21 =B 3 is equal to or greater than the competitive data < X 4 , wherein 1 is equal to or greater than B 1 ＞B 2 ＞B 3 is equal to or greater than 0; The membership function F 22 is that membership degree D 22 =B 4 is equal to or greater than X 3 if the competitive data is equal to or greater than X 4 , membership degree D 22 =B 5 is equal to or greater than the competitive data < X 3 , membership degree D 22 =B 6 is equal to or greater than the competitive data < X 4 , wherein 1 is equal to or greater than B 5 ＞B 4 ≥0,1≥B 5 ＞B 6 is equal to or greater than 0; The membership function F 23 is that membership degree D 23 =B 7 is equal to or greater than X 3 if the competitive data is equal to or greater than X 4 , membership degree D 23 =B 8 is equal to or greater than the competitive data < X 3 , membership degree D 23 =B 9 is equal to or greater than the competitive data < X 4 , wherein 1 is equal to or greater than B 9 ＞B 8 ＞B 7 is equal to or greater than 0; X 3 and X 4 are both preset competitive thresholds, and X 3 ＞X 4 .
  6. 6. The method for generating decision advice of additional site service according to claim 1, wherein the blurring process is performed on the quantized data corresponding to the service item to be added to obtain a membership array D 3 and a fuzzy set group G 3 corresponding to the target site capability data, and the method comprises: respectively inputting the target site capacity data corresponding to the service item to be added into a preset membership function F 31 、F 32 、F 33 to obtain the corresponding membership degree D 31 、D 32 、D 33 ; If D 31 is not equal to 0, setting the corresponding relation between the service item to be added and D 31 in a preset fuzzy set G 31 , if D 32 is not equal to 0, setting the corresponding relation between the service item to be added and D 32 in a preset fuzzy set G 32 , and if D 33 is not equal to 0, setting the corresponding relation between the service item to be added and D 33 in a preset fuzzy set G 33 ; wherein the membership degree array D 3 includes D 31 、D 32 and D 33 , the fuzzy set group G 3 includes the fuzzy sets G 31 、G 32 and G 33 , the membership function of the fuzzy set G 31 is F 31 , the membership function of the fuzzy set G 32 is F 32 , and the membership function of the fuzzy set G 33 is F 33 ; The membership function F 31 is a membership degree D 31 =C 1 if the capacity data of the target site is more than or equal to X 5 , a membership degree D 31 =C 2 if X 6 is less than or equal to the capacity data of the target site < X 5 , and a membership degree D 31 =C 3 if the capacity data of the target site is less than or equal to X 6 , wherein 1 is more than or equal to C 1 ＞C 2 ＞C 3 is more than or equal to 0; The membership function F 32 is a membership degree D 32 =C 4 if the capacity data of the target site is more than or equal to X 5 , a membership degree D 32 =C 5 if X 6 is less than or equal to the capacity data of the target site < X 5 , and a membership degree D 32 =C 6 if the capacity data of the target site is less than or equal to X 6 , wherein 1 is more than or equal to C 5 ＞C 4 ≥0,1≥C 5 ＞C 6 is more than or equal to 0; The membership function F 33 is a membership degree D 33 =C 7 if the capacity data of the target site is more than or equal to X 5 , a membership degree D 33 =C 8 if X 6 is less than or equal to the capacity data of the target site < X 5 , and a membership degree D 33 =C 9 if the capacity data of the target site is less than or equal to X 6 , wherein 1 is more than or equal to C 9 ＞C 8 ＞C 7 is more than or equal to 0; X 5 and X 6 are both preset target site capability thresholds, and X 5 ＞X 6 .
  7. 7. The method for generating decision advice of additional site service according to claim 1, wherein the blurring process is performed on the quantized data corresponding to the service item to be added to obtain a membership array D 4 and a fuzzy set group G 4 corresponding to the cost benefit data, comprising: Respectively inputting the cost benefit data corresponding to the service item to be added into a preset membership function F 41 、F 42 、F 43 to obtain the corresponding membership degree D 41 、D 42 、D 43 ; If D 41 is not equal to 0, setting the corresponding relation between the service item to be added and D 41 in a preset fuzzy set G 41 , if D 42 is not equal to 0, setting the corresponding relation between the service item to be added and D 42 in a preset fuzzy set G 42 , and if D 43 is not equal to 0, setting the corresponding relation between the service item to be added and D 43 in a preset fuzzy set G 43 ; Wherein the membership degree array D 4 includes D 41 、D 42 and D 43 , the fuzzy set group G 4 includes the fuzzy sets G 41 、G 42 and G 43 , the membership function of the fuzzy set G 41 is F 41 , the membership function of the fuzzy set G 42 is F 42 , and the membership function of the fuzzy set G 43 is F 43 ; The membership function F 41 is membership D 41 =E 1 if the cost benefit data is more than or equal to X 7 , membership D 41 =E 2 if the cost benefit data is less than or equal to X 8 and is less than or equal to X 7 , membership D 41 =E 3 if the cost benefit data is less than or equal to X 8 , wherein 1 is more than or equal to E 1 ＞E 2 ＞E 3 and is more than or equal to 0; The membership function F 42 is membership D 42 =E 4 if the cost benefit data is more than or equal to X 7 , membership D 42 =E 5 if the cost benefit data is less than or equal to X 8 and is less than or equal to X 7 , membership D 42 =E 6 if the cost benefit data is less than or equal to X 8 , wherein 1 is more than or equal to E 5 ＞E 4 ≥0,1≥E 5 ＞E 6 and is more than or equal to 0; The membership function F 43 is membership D 43 =E 7 if the cost benefit data is more than or equal to X 7 , membership D 43 =E 8 if the cost benefit data is less than or equal to X 8 and is less than or equal to X 7 , membership D 43 =E 9 if the cost benefit data is less than or equal to X 8 , wherein 1 is more than or equal to E 9 ＞E 8 ＞E 7 and is more than or equal to 0; X 7 and X 8 are both preset cost benefit thresholds, and X 7 ＞X 8 .
  8. 8. The method for generating decision advice of additional site service according to claim 1, wherein the generating the decision advice corresponding to the service item to be added by performing fuzzy logic reasoning on the fuzzy aggregation group G 1 、G 2 、G 3 、G 4 corresponding to the service item to be added comprises: Inputting the fuzzy aggregation groups G 1 、G 2 、G 3 and G 4 corresponding to the service items to be added into N fuzzy rule bases to obtain suggestions corresponding to the fuzzy rule bases one by one, wherein N is more than or equal to 2 and less than or equal to 4; Respectively reasoning N suggestions to obtain ambiguities corresponding to the suggestions one by one, and comprehensively reasoning according to the N ambiguities and a preset algorithm to obtain total ambiguities, wherein the preset algorithm comprises a maximum value taking method, a minimum value taking method or a weighted average method; Performing defuzzification treatment on the total ambiguity by adopting a gravity center method, and generating an accurate defuzzified result; And generating the decision proposal corresponding to the service item to be added according to the accurate result, the total ambiguity and the ambiguity set G 1 、G 2 、G 3 and G 4 .
  9. 9. The decision suggestion generation method of an add-on site service of claim 8, wherein: Each fuzzy rule base comprises a plurality of rules, and each rule comprises judging conditions and suggestions; the judging conditions at least comprise a fuzzy variable and a linguistic variable corresponding to the fuzzy variable, wherein the fuzzy set groups G 1 、G 2 、G 3 and G 4 respectively correspond to one fuzzy variable, each fuzzy set group comprises a plurality of fuzzy sets, and the fuzzy sets are in one-to-one correspondence with the linguistic variable.
  10. 10. The decision advice generating device for adding site service comprises a memory and a processor, and is characterized in that: the memory is used for storing a decision suggestion generation program for adding site services; The processor is configured to read the decision suggestion generation program of the additional site service, and perform the decision suggestion generation method of the additional site service according to any one of claims 1 to 9.

Description

Decision suggestion generation method and device for adding site service Technical Field The present disclosure relates to the field of decision suggestion generation in the service industry, and in particular, to a method and apparatus for generating decision suggestions for adding site services. Background With the increasing of automobile possession, automobile owners have increasingly demanded automobile services, various automobile service stations face the problem of expanding service types to meet customer demands, however, traditional decision models are difficult to deal with uncertainty and complexity of markets, existing decision models mainly rely on vehicle traffic data in areas and daily traffic routes of automobile users to conduct site selection, suggestions for adding automobile services are difficult to generate for the existing service stations, distribution and operation strategies of competitors are not considered during site selection, comprehensive analysis of competitors is lacking, comprehensiveness and accuracy of site selection decisions are affected, actual service demands and actual economic environments of users are not considered, and generated decision suggestions are lacked scientificity. Disclosure of Invention The embodiment of the application provides a decision suggestion generation method and device for additional site service, which can comprehensively perform fuzzy logic reasoning according to market dynamic requirements, competing environments, target site operation capacity and benefits, reduce complexity and uncertainty of the market environments and can provide comprehensive, accurate and scientific decision suggestion for the additional site service. In one aspect, an embodiment of the present application provides a method for generating a decision suggestion for adding a site service, including: Acquiring a service set to be selected of a target site, wherein the service set to be selected comprises a plurality of service items to be added of the target site; Executing the following steps for each service item to be added: Obtaining quantized data corresponding to the service item to be added, wherein the quantized data comprises demand data, competitive data, target site capacity data and cost benefit data; The quantized data corresponding to the service item to be added is subjected to fuzzification processing to obtain a membership degree array D 1 and a fuzzy set group G 1 corresponding to the demand data, a membership degree array D 2 and a fuzzy set group G 2 corresponding to the competitive data, a membership degree array D 3 and a fuzzy set group G 3 corresponding to the target site capability data and a membership degree array D 4 and a fuzzy set group G 4 corresponding to the cost benefit data; And carrying out fuzzy logic reasoning on the fuzzy aggregation group G 1、G2、G3、G4 corresponding to the service item to be added to generate a decision suggestion corresponding to the service item to be added. On the other hand, the embodiment of the application also provides a decision proposal generating device for adding site service, which comprises a memory and a processor: the memory is used for storing a decision suggestion generation program for adding site services; The processor is configured to read the decision suggestion generation program of the additional site service, and perform the decision suggestion generation method of the additional site service according to the above embodiment. Compared with the related art, the decision proposal generating method and device for the additional site service can comprehensively perform fuzzy logic reasoning according to market dynamic requirements, competing environments, target site operation capacity and benefits, reduce complexity and uncertainty of the market environments, provide comprehensive, accurate and scientific decision proposal for the additional site service, recommend service items with high additional requirements, low competing requirements, low upgrading and transformation requirements and high benefits for the target site, help a target site operator to timely adjust service strategies, reduce blindness of the additional site service, keep market competitiveness of the site and obtain good economic benefits. Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. Other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and drawings. Drawings The accompanying drawings are included to provide an understanding of the principles of the application, and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain, without limitation, the principles of the application. FIG. 1