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On aggregation operators for linguistic trapezoidal fuzzy intuitionistic fuzzy sets and their application to multiple attribute group decision making
(IOP, 2020)
Linguistic decision-making tools are very useful in determining the solution to real-life decision problems. In order to represent the complex fuzzy qualitative information more accurately, this paper introduces a novel ...
A new decision making method using interval-valued intuitionistic fuzzy cosine similarity measure based on the weighted reduced Intuitionistic fuzzy sets
(Institute of Mathematics and Informatics of Vilnius University, 2020)
In this paper, we develop a new flexible method for interval-valued intuitionistic fuzzy decision-making problems with cosine similarity measure. We first introduce the interval-valued intuitionistic fuzzy cosine similarity ...
Dual hesitant fuzzy group decision making method and its application to supplier selection
(2016)
The concept of dual hesitant fuzzy set arising from hesitant fuzzy set is generalized by including a function reflecting the decision maker's fuzziness about the non-membership degree of the information provided. This paper ...
Qualitative decision making with correlation coefficients of hesitant fuzzy linguistic term sets
(Elsevier, 2015)
The hesitant fuzzy linguistic term set (HFLTS) is a new and flexible tool in representing hesitant qualitative
information in decision making. Correlation measures and correlation coefficients have been applied
widely ...
Citation analysis of fuzzy set theory journals: bibliometric insights about authors and research areas
(Springer, 2020)
Publications on fuzzy set theory and its applications have grown exponentially. The increasing rate of
developments in the field is a response to diverse factors, including the need for robust mathematical
approaches ...
Multiple attribute group decision‐making based on order‐α divergence and entropy measures under q‐rung orthopair fuzzy environment
(Wiley, 2020)
The q-rung orthopair fuzzy set ((ROPFS)-R-q), proposed by Yager, is a more effective and proficient tool to represent uncertain or vague information in real-life situations. Divergence and entropy are two important measures, ...
A Rough-Fuzzy approach for Support Vector Clustering
(Elsevier, 2016)
Support Vector Clustering (SVC) is an important density-based clustering algorithm which can be applied in many real world applications given its ability to handle arbitrary cluster silhouettes and detect the number of ...
Fuzzy decision making: A bibliometric-based review
(IOS Press, 2017)
Fuzzy decision-making consists in making decisions under complex and uncertain environments where the information can be assessed with fuzzy sets and systems. The aim of this study is to review the main contributions in ...
Application of fuzzy set/qualitative comparative analysis to public participation projects in support of the eu water framework directive
(Water Environment Federation, 2018)
This study analyzes the level of satisfaction of stakeholders in the public participation process (PPP) of water resources management, which is mandatory according to the EU Water Framework Directive (WFD). The methodology ...
Decision making processes of non-life insurance pricing using fuzzy logic and owa operators
(Academic Economic Studies, 2015)
Setting a commercial premium for an insurance policy is a complex process, even, though statistical tools provide fairly reliable information on the behavior of the frequency and cost of claims differentiated by risk ...