Fuzzy Optimization and Decision Making最新文献_第7页

Some results for the minimal optimal solution of min-max programming problem with addition-min fuzzy relational inequalities 具有加法的极小模糊关系不等式的极小极大规划问题的极小最优解的一些结果

IF 4.7 2区计算机科学

Fuzzy Optimization and Decision Making Pub Date : 2021-10-19 DOI: 10.1007/s10700-021-09371-y

Yan-Kuen Wu, Ching-Feng Wen, Yuan-Teng Hsu, Ming-Xian Wang

引用次数: 1

A graph model for conflict resolution with inconsistent preferences among large-scale participants 大规模参与者偏好不一致时冲突解决的图模型

IF 4.7 2区计算机科学

Fuzzy Optimization and Decision Making Pub Date : 2021-10-18 DOI: 10.1007/s10700-021-09373-w

Tang, Ming, Liao, Huchang

{"title":"A graph model for conflict resolution with inconsistent preferences among large-scale participants","authors":"Tang, Ming, Liao, Huchang","doi":"10.1007/s10700-021-09373-w","DOIUrl":"https://doi.org/10.1007/s10700-021-09373-w","url":null,"abstract":"As a flexible and powerful method to resolve strategy conflicts, the graph model for conflict resolution has drawn much attention. In the graph model for conflict resolution, decision-makers need to provide their preference information for all possible scenarios. Most existing studies assumed that decision-makers adopt quantitative representation formats. However, in some real-life situations, decision-makers may tend to use qualitative assessments due to their cognitive expression habits. In addition, stakeholders involved in a graph model can be a group that is composed of a large number of participants. How to manage these participants’ inconsistent preference assessments is also a debatable issue. To fit these gaps, in this study, we propose a graph model for conflict resolution with linguistic preferences, and this model allows participants to use inconsistent assessments. To do this, we first construct a linguistic preference structure, with the necessary concepts being defined. Then, four stability definitions for both a two-decision-maker scenario and an n-decision-maker scenario are introduced. To illustrate the usefulness of the proposed model, an illustrative example regarding the Huawei conflict is provided.","PeriodicalId":55131,"journal":{"name":"Fuzzy Optimization and Decision Making","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2021-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138527236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Uncertain seepage equation in fissured porous media 裂隙多孔介质中的不确定渗流方程

IF 4.7 2区计算机科学

Fuzzy Optimization and Decision Making Pub Date : 2021-10-16 DOI: 10.1007/s10700-021-09370-z

Lu Yang, Tingqing Ye, Haizhong Yang

引用次数: 3

An innovative unification process for probabilistic hesitant fuzzy elements and its application to decision making 一种创新的概率犹豫模糊元素统一过程及其在决策中的应用

IF 4.7 2区计算机科学

Fuzzy Optimization and Decision Making Pub Date : 2021-10-14 DOI: 10.1007/s10700-021-09369-6

B. Farhadinia

引用次数: 3

Stability analysis for uncertain nonlinear switched systems with infinite-time domain 无限时域不确定非线性切换系统的稳定性分析

IF 4.7 2区计算机科学

Fuzzy Optimization and Decision Making Pub Date : 2021-10-12 DOI: 10.1007/s10700-021-09372-x

Yadong Shu, Bo Li

引用次数: 2

Min–max programming problem with constraints of addition-min-product fuzzy relation inequalities 具有加法-最小积模糊关系不等式约束的最小最大规划问题

IF 4.7 2区计算机科学

Fuzzy Optimization and Decision Making Pub Date : 2021-07-30 DOI: 10.1007/s10700-021-09368-7

Qiu, Jianjun, Yang, Xiaopeng

引用次数: 3

Multiple attribute decision-making method based on projection model for dual hesitant fuzzy set 基于投影模型的双犹豫模糊集多属性决策方法

IF 4.7 2区计算机科学

Fuzzy Optimization and Decision Making Pub Date : 2021-07-16 DOI: 10.1007/s10700-021-09366-9

Yan Ni, Hua Zhao, Zeshui Xu, Zeyan Wang

{"title":"Multiple attribute decision-making method based on projection model for dual hesitant fuzzy set","authors":"Yan Ni, Hua Zhao, Zeshui Xu, Zeyan Wang","doi":"10.1007/s10700-021-09366-9","DOIUrl":"https://doi.org/10.1007/s10700-021-09366-9","url":null,"abstract":"In the decision-making process, retaining the original data information has become a most crucial step. Dual hesitant fuzzy sets (DHFS), which can reflect the original membership degree and non-membership degree information given by the DMs, is a kind of new tool for the DMs to provide the original information as much as possible. In this paper, we focus on the decision- making problem by a projection model (Algorithm I) whose attribute values are given in the forms of dual hesitant fuzzy elements (DHFEs). In order to reflect the information of the data more accurately, we first divide the dual hesitant fuzzy decision matrix into membership degree matrix and non-membership degree matrix. Then we gain the virtual positive ideal solution from the membership degree matrix and the negative positive ideal solution from the non-membership degree matrix. And then the projection values from every solution to the virtual positive ideal solution and the negative positive ideal solution are calculated. In combination with the two projection values, the relative consistent degree is further calculated to rank all the alternatives. At the same time, in order to guarantee the rationality of the decision-making result, a variation coefficient method is developed to determine the weights of the attributes under dual hesitant fuzzy environment objectively. Finally, the existing algorithms (Algorithm II and Algorithm III, Algorithm IV, Algorithm V) are compared with our algorithm (Algorithm I). The comparison result shows that Algorithm I is a valuable tool for decision making.","PeriodicalId":55131,"journal":{"name":"Fuzzy Optimization and Decision Making","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2021-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138527219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Uncertain hypothesis test with application to uncertain regression analysis 不确定假设检验及其在不确定回归分析中的应用

IF 4.7 2区计算机科学

Fuzzy Optimization and Decision Making Pub Date : 2021-07-09 DOI: 10.1007/s10700-021-09365-w

Tingqing Ye, Baoding Liu