M. Palanikumar, Aiyared Iampan
求助PDF
{"title":"A Novel Approach to Decision Making Based on Type-ii Generalized Fermatean Bipolar Fuzzy Soft Sets","authors":"M. Palanikumar, Aiyared Iampan","doi":"10.24507/ijicic.18.03.769","DOIUrl":null,"url":null,"abstract":"This research article is devoted to Type-II generalized Fermatean bipolar fuzzy soft sets. Type-II generalized Fermatean bipolar fuzzy soft sets approaches are a great point of view for decision making, which is a new generalization of bipolar fuzzy soft sets and generalized fuzzy soft sets. We indicate an algorithm to solve the decision making real life problem based on a soft set model. We discussed the similarity measure between Type-II generalized Fermatean bipolar fuzzy soft sets. Suppose that there are four patients in a hospital with certain symptoms of corona viruses and the universal set contains COVID-19, severe acute respiratory syndrome, middle east respiratory syndrome, usually mild respiratory illness and the set of a parameter is the set of certain symptoms of corona viruses represented by fever, cough, difficulty breathing or shortness of breath, loss of speech or mobility, or confusion and chest pain. Also, we communicate with interact Type-II generalized Fermatean bipolar fuzzy soft sets that can be applied to detecting whether the person is more affecting from a corona disease or not. © 2022 ICIC International.","PeriodicalId":50314,"journal":{"name":"International Journal of Innovative Computing Information and Control","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Innovative Computing Information and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24507/ijicic.18.03.769","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 3
引用
批量引用
基于二类广义Fermatean双极模糊软集的决策新方法
本文研究ii型广义Fermatean双极模糊软集。ii型广义Fermatean双极模糊软集方法是对双极模糊软集和广义模糊软集的一种新的推广,为决策提供了一个很好的视角。提出了一种基于软集模型的现实生活决策问题求解算法。讨论了二类广义Fermatean双极模糊软集之间的相似性度量。假设一家医院有四名冠状病毒症状的患者,通用集包括COVID-19、严重急性呼吸综合征、中东呼吸综合征,通常是轻度呼吸道疾病,参数集是冠状病毒某些症状的集合,代表为发烧、咳嗽、呼吸困难或呼吸短促、言语或行动障碍、意识不清和胸痛。此外,我们与交互ii型广义Fermatean双极模糊软集进行通信,该软集可用于检测该人是否更容易受到冠状疾病的影响。©2022 ICIC International。
本文章由计算机程序翻译,如有差异,请以英文原文为准。