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

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":"21 5","pages":""},"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

引用次数: 47

Fuzzy chance-constrained data envelopment analysis: a structured literature review, current trends, and future directions 模糊机会约束数据包络分析：结构化文献综述、当前趋势和未来方向

IF 4.7 2区计算机科学

Fuzzy Optimization and Decision Making Pub Date : 2021-07-09 DOI: 10.1007/s10700-021-09364-x

P. Peykani, F. Hosseinzadeh lotfi, S. Sadjadi, A. Ebrahimnejad, Emran Mohammadi

引用次数: 25

Type-2 fuzzy numbers made simple in decision making 决策中的2型模糊数

IF 4.7 2区计算机科学

Fuzzy Optimization and Decision Making Pub Date : 2021-07-06 DOI: 10.1007/s10700-021-09363-y

Bin Zhu, Peijia Ren

引用次数: 6

An analytic solution for multi-period uncertain portfolio selection problem 多周期不确定投资组合问题的解析解

IF 4.7 2区计算机科学

Fuzzy Optimization and Decision Making Pub Date : 2021-06-26 DOI: 10.1007/s10700-021-09367-8

Bo Li, Yufei Sun, Kok Lay Teo

{"title":"An analytic solution for multi-period uncertain portfolio selection problem","authors":"Bo Li, Yufei Sun, Kok Lay Teo","doi":"10.1007/s10700-021-09367-8","DOIUrl":"https://doi.org/10.1007/s10700-021-09367-8","url":null,"abstract":"The return rates of risky assets in financial markets are usually assumed as random variables or fuzzy variables. For the ever-changing real asset market, this assumption may not always be satisfactory. Thus, it is sometimes more realistic to take the return rates as uncertain variables. However, for the existing works on multi-period uncertain portfolio selection problems, they do not find analytic optimal solutions. In this paper, we propose a method for deriving an analytic optimal solution to a multi-period uncertain portfolio selection problem. First, a new uncertain risk measure is defined to model the investment risk. Then, we formulate a bi-criteria optimization model, where the investment return is maximized, while the investment risk is minimized. On this basis, an equivalent transformation is presented to convert the uncertain bi-criteria optimization problem into an equivalent bi-criteria optimization problem. Then, by applying dynamic programming method, an analytic optimal solution is obtained. Finally, a numerical simulation is carried out to show that the proposed model is realistic and the method being developed is applicable and effective.","PeriodicalId":55131,"journal":{"name":"Fuzzy Optimization and Decision Making","volume":"31 2","pages":""},"PeriodicalIF":4.7,"publicationDate":"2021-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138527216","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

Editor’s message 编辑的信息

IF 4.7 2区计算机科学

Fuzzy Optimization and Decision Making Pub Date : 2021-04-29 DOI: 10.1007/s10700-021-09362-z

Shu-Cherng Fang

引用次数: 0

The DEMATEL–COPRAS hybrid method under probabilistic linguistic environment and its application in Third Party Logistics provider selection 概率语言环境下的DEMATEL-COPRAS混合方法及其在第三方物流供应商选择中的应用

IF 4.7 2区计算机科学

Fuzzy Optimization and Decision Making Pub Date : 2021-04-26 DOI: 10.1007/s10700-021-09358-9

Yayi Yuan, Zeshui Xu, Yixin Zhang

{"title":"The DEMATEL–COPRAS hybrid method under probabilistic linguistic environment and its application in Third Party Logistics provider selection","authors":"Yayi Yuan, Zeshui Xu, Yixin Zhang","doi":"10.1007/s10700-021-09358-9","DOIUrl":"https://doi.org/10.1007/s10700-021-09358-9","url":null,"abstract":"With the emergence of outsourcing logistics and the rapid development of the e-commerce business, Third Party Logistics (TPL) plays an indispensable role in modern business. In the TPL provider selection process, uncertain information brings more challenges to decision makers. This paper uses probabilistic linguistic term sets (PLTSs) to describe uncertain decision making information. Firstly, we propose an improved Decision Making Trial and Evaluation Laboratory method, which allows a certain relationship between decision criteria and calculates criteria weights in multi-criteria decision making (MCDM) problems. Then, in order to make full use of uncertain TPL provider information and maximize the values of data, the probabilistic linguistic complex proportional assessment method is proposed and applied to solve the MCDM problems under probabilistic linguistic environment, which needs much less computation than other MCDM methods. Finally, an application example of TPL provider selection is presented to demonstrate the proposed method. A comparative analysis is further conducted to validate the effectiveness of the proposed method.","PeriodicalId":55131,"journal":{"name":"Fuzzy Optimization and Decision Making","volume":"31 3","pages":""},"PeriodicalIF":4.7,"publicationDate":"2021-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138527235","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: 31

A comparative analysis of probabilistic linguistic preference relations and distributed preference relations for decision making 概率语言偏好关系与分布偏好关系在决策中的比较分析

IF 4.7 2区计算机科学

Fuzzy Optimization and Decision Making Pub Date : 2021-04-20 DOI: 10.1007/s10700-021-09357-w

Min Xue, Chao Fu, Shanlin Yang

{"title":"A comparative analysis of probabilistic linguistic preference relations and distributed preference relations for decision making","authors":"Min Xue, Chao Fu, Shanlin Yang","doi":"10.1007/s10700-021-09357-w","DOIUrl":"https://doi.org/10.1007/s10700-021-09357-w","url":null,"abstract":"When a decision-maker prefers to compare different alternatives in pairs to handle real situations, there are many different expression styles that can be used. Two representative expression styles are the probabilistic linguistic preference relation (PLPR), which originates from the fuzzy linguistic approach and the distributed preference relation (DPR), which originates from the evidential reasoning approach. Although these two expression styles look quite similar, their meanings, operations, and relevant decision making processes are significantly different. This presents the decision-maker with the challenge of selecting either PLPRs or DPRs in different real cases. To address this issue, this paper provides a detailed analysis of the similarities and differences between PLPRs and DPRs. The analysis is conducted from five perspectives, including modeling of decision making problems, handling of uncertainty, consistency between preference relations, information aggregation, and elicitation process. An engineer selection problem for an automobile manufacturing enterprise is investigated to demonstrate how to appropriately select PLPRs or DPRs to model and analyze decision making problems in real situations with consideration for the preferences of decision-makers.","PeriodicalId":55131,"journal":{"name":"Fuzzy Optimization and Decision Making","volume":"10 2","pages":""},"PeriodicalIF":4.7,"publicationDate":"2021-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138527226","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: 6