{"title":"基于三方决策的大规模群体决策的干热岩勘探选址方法","authors":"Fang Liu, Zhongli Zhou, Ju Wu, Yi Liu","doi":"10.1007/s40815-024-01690-7","DOIUrl":null,"url":null,"abstract":"<p>In large-scale group decision-making (LSGDM) for dry hot rock exploration location selection, decision-makers are limited by their professional fields and knowledge background, and it is difficult to provide complete evaluation information. However, brainstorming is the main advantage of LSGDM. To maximize the professional contributions of various decision-makers, a multi-attribute LSGDM method based on three-way decision (TWD) and intuitionistic fuzzy concept-oriented (IFC) is proposed. Firstly, according to the characteristics of IFC, a description of the LSGDM problem based on IFC is given; then, an LSGDM model based on TWD is proposed to classify and rank alternatives. Two algorithmic descriptions are given, namely consensus reaching process algorithm and algorithm for classifying and ranking alternatives. Then, taking dry hot rock exploration location selection as an example, the execution steps of this model were elaborated in detail, and the final classification and ranking results were obtained. Finally, the effectiveness and feasibility of this model were analyzed based on experimental results, and the influence of various parameters on the results was also studied.</p>","PeriodicalId":14056,"journal":{"name":"International Journal of Fuzzy Systems","volume":"18 1","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Location Selection for Dry Hot Rock Exploration Based on Large-Scale Group Decision-Making with Three-way Decision\",\"authors\":\"Fang Liu, Zhongli Zhou, Ju Wu, Yi Liu\",\"doi\":\"10.1007/s40815-024-01690-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>In large-scale group decision-making (LSGDM) for dry hot rock exploration location selection, decision-makers are limited by their professional fields and knowledge background, and it is difficult to provide complete evaluation information. However, brainstorming is the main advantage of LSGDM. To maximize the professional contributions of various decision-makers, a multi-attribute LSGDM method based on three-way decision (TWD) and intuitionistic fuzzy concept-oriented (IFC) is proposed. Firstly, according to the characteristics of IFC, a description of the LSGDM problem based on IFC is given; then, an LSGDM model based on TWD is proposed to classify and rank alternatives. Two algorithmic descriptions are given, namely consensus reaching process algorithm and algorithm for classifying and ranking alternatives. Then, taking dry hot rock exploration location selection as an example, the execution steps of this model were elaborated in detail, and the final classification and ranking results were obtained. Finally, the effectiveness and feasibility of this model were analyzed based on experimental results, and the influence of various parameters on the results was also studied.</p>\",\"PeriodicalId\":14056,\"journal\":{\"name\":\"International Journal of Fuzzy Systems\",\"volume\":\"18 1\",\"pages\":\"\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2024-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Fuzzy Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1007/s40815-024-01690-7\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Fuzzy Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s40815-024-01690-7","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Location Selection for Dry Hot Rock Exploration Based on Large-Scale Group Decision-Making with Three-way Decision
In large-scale group decision-making (LSGDM) for dry hot rock exploration location selection, decision-makers are limited by their professional fields and knowledge background, and it is difficult to provide complete evaluation information. However, brainstorming is the main advantage of LSGDM. To maximize the professional contributions of various decision-makers, a multi-attribute LSGDM method based on three-way decision (TWD) and intuitionistic fuzzy concept-oriented (IFC) is proposed. Firstly, according to the characteristics of IFC, a description of the LSGDM problem based on IFC is given; then, an LSGDM model based on TWD is proposed to classify and rank alternatives. Two algorithmic descriptions are given, namely consensus reaching process algorithm and algorithm for classifying and ranking alternatives. Then, taking dry hot rock exploration location selection as an example, the execution steps of this model were elaborated in detail, and the final classification and ranking results were obtained. Finally, the effectiveness and feasibility of this model were analyzed based on experimental results, and the influence of various parameters on the results was also studied.
期刊介绍:
The International Journal of Fuzzy Systems (IJFS) is an official journal of Taiwan Fuzzy Systems Association (TFSA) and is published semi-quarterly. IJFS will consider high quality papers that deal with the theory, design, and application of fuzzy systems, soft computing systems, grey systems, and extension theory systems ranging from hardware to software. Survey and expository submissions are also welcome.