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Optimizing healthcare supply chain capacity planning during disasters using fuzzy AHP and TOPSIS methods. [PDF]

Sci Rep
Ommane Y, Lachgar M, Hanine M, Laanaoui MD, Kaouri S.   +4 more
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Notes on triangular intuitionistic fuzzy numbers

International Journal of Mathematics in Operational Research, 2013
The notion of triangular fuzzy number is put forward on the basis of intuitionistic fuzzy sense. The basic algebra and some non-linear operations of triangular intuitionistic fuzzy numbers (TIFNs) are devised. The average ranking index is introduced to find out order relations between two TIFNs.
Prasun Kumar Nayak, Madhumangal Pal, Mijanur Rahaman Seikh   +2 more
exaly   +3 more sources

New operators on triangular intuitionistic fuzzy numbers and their applications in system fault analysis

Information Sciences, 2013
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Hongyu Zhang, Jian-Qiang Wang, Xiao-Hong Chen   +2 more
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Some New Operations on Triangular Fuzzy Number Intuitionistic Fuzzy Set

2019 Chinese Control And Decision Conference (CCDC), 2019
Triangular fuzzy number intuitionistic fuzzy set is one of the extensions of Atanassov’s intuitionistic fuzzy set (A-IFS). The main purpose of this paper is to define some basic operations including "addition", "multiplication", "number multiplication" , "fuzzy number multiplication" and "fuzzy number power" of triangular fuzzy number intuitionistic ...
exaly   +2 more sources

The extended VIKOR method for multi-attribute group decision making with triangular intuitionistic fuzzy numbers

Knowledge-Based Systems, 2013
Triangular intuitionistic fuzzy numbers (TIFNs) are a special intuitionistic fuzzy set (IFS) on a real number set, which are very useful for decision makers (DMs) to depict their fuzzy preference information. In this work, we investigate multiple attribute group decision-making (MAGDM) problems in which the ratings of alternatives are expressed with ...
Shuping Wan, Zhou Liping
exaly   +3 more sources

An Approach to Multiple Attribute Decision Making with Triangular Intuitionistic Fuzzy Information

Journal of Computational and Theoretical Nanoscience, 2016
The aim of this paper is to investigate the multiple attribute decision making problems with triangular intuitionistic fuzzy information. Some operational laws of triangular intuitionistic fuzzy sets, score functions of triangular intuitionistic fuzzy ...
Jinping Chen
exaly   +2 more sources

Portfolio selection model with triangular intuitionistic fuzzy number by rate of return

Journal of Intelligent & Fuzzy Systems, 2022
A portfolio selection model with return as triangular intuitionistic fuzzy number is developed in this study to assess and select portfolios on China Stock Exchange. Although the portfolio selection has been widely investigated, and most studies have regarded return and risk as the main decisive criteria, there are many uncertainties in the financial ...
Xiaolian Liao, Guohua Chen
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A methodology for matrix games with payoffs of triangular intuitionistic fuzzy number

Journal of Intelligent & Fuzzy Systems, 2014
The main objective of this paper is to develop a new ranking methodology for solving matrix games with intuitionistic fuzzy payoffs in terms of a value and ambiguity of triangular intuitionistic fuzzy numbers (TIFNs). In order to obtain an equilibrium solution of this matrix game, we construct two auxiliary TIFN programming models that are transformed ...
Jiang-Xia Nan, Mao-Jun Zhang, Deng-Feng Li 0001   +2 more
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Possibility mean, variance and covariance of triangular intuitionistic fuzzy numbers

Journal of Intelligent & Fuzzy Systems, 2013
Triangular intuitionistic fuzzy numbers (TIFNs) are a special kind of intuitionistic fuzzy sets (IFSs) on the real number set. TIFNs are useful to deal with ill-known quantities in decision data and decision making problems themselves. How to measure the value and uncertainty of a TIFN is of great importance. In this paper, we introduce the concepts of
Shu-Ping Wan, Deng-Feng Li 0001, Zhen-Feng Rui   +2 more
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A noval ranking approach based on incircle of triangular intuitionistic fuzzy numbers

Journal of Intelligent & Fuzzy Systems, 2020
Since proposed by Zadeh in 1965, ordinary fuzzy sets help us to model uncertainty and developed many types such as type 2 fuzzy, intuitionistic fuzzy, hesitant fuzzy etc. Intuitionistic fuzzy sets include both membership and non-membership functions for their each element.
Gültekin Atalik, Sevil Sentürk
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