{"title":"Fermatean Fuzzy Similarity Measures-Based Group Decision-Making Algorithm and Its Application to Dengue Disease","authors":"Harish Garg, Faiz Muhammad Khan, Waqas Ahmed","doi":"10.1007/s40998-023-00685-8","DOIUrl":null,"url":null,"abstract":"<p>The Fermatean fuzzy set (FFS) is an effective and robust technique for handling ambiguity, to deal with issues that can’t be resolved using the concepts of Intuitionistic fuzzy set and Pythagorean fuzzy set. Due to its essential uses and crucial significance in solving insoluble real-world problems in a variety of sectors, FFS has generated a maze of research since its inception. In this elaborative study, we establish a clear definition for the concept of similarity measures along with their essential qualities in the context of FFS. Additionally, we introduced a group decision-making algorithm grounded in the suggested similarity measures to tackle the issues. The attribute weights are determined by utilizing the newly introduced similarity measures as part of the process. The credibility of the algorithm is demonstrated through a case of dengue diseases and a comparison of its results with some of the existing studies.</p>","PeriodicalId":49064,"journal":{"name":"Iranian Journal of Science and Technology-Transactions of Electrical Engineering","volume":"125 1","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iranian Journal of Science and Technology-Transactions of Electrical Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s40998-023-00685-8","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
The Fermatean fuzzy set (FFS) is an effective and robust technique for handling ambiguity, to deal with issues that can’t be resolved using the concepts of Intuitionistic fuzzy set and Pythagorean fuzzy set. Due to its essential uses and crucial significance in solving insoluble real-world problems in a variety of sectors, FFS has generated a maze of research since its inception. In this elaborative study, we establish a clear definition for the concept of similarity measures along with their essential qualities in the context of FFS. Additionally, we introduced a group decision-making algorithm grounded in the suggested similarity measures to tackle the issues. The attribute weights are determined by utilizing the newly introduced similarity measures as part of the process. The credibility of the algorithm is demonstrated through a case of dengue diseases and a comparison of its results with some of the existing studies.
期刊介绍：
Transactions of Electrical Engineering is to foster the growth of scientific research in all branches of electrical engineering and its related grounds and to provide a medium by means of which the fruits of these researches may be brought to the attentionof the world’s scientific communities.
The journal has the focus on the frontier topics in the theoretical, mathematical, numerical, experimental and scientific developments in electrical engineering as well
as applications of established techniques to new domains in various electical engineering disciplines such as:
Bio electric, Bio mechanics, Bio instrument, Microwaves, Wave Propagation, Communication Theory, Channel Estimation, radar & sonar system, Signal Processing, image processing, Artificial Neural Networks, Data Mining and Machine Learning, Fuzzy Logic and Systems, Fuzzy Control, Optimal & Robust ControlNavigation & Estimation Theory, Power Electronics & Drives, Power Generation & Management The editors will welcome papers from all professors and researchers from universities, research centers,
organizations, companies and industries from all over the world in the hope that this will advance the scientific standards of the journal and provide a channel of communication between Iranian Scholars and their colleague in other parts of the world.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
