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Akademický článek

Power Average Operators of Trapezoidal Cubic Fuzzy Numbers and Application to Multi-attribute Group Decision Making

Autor: Fahmi Aliya, Amin Fazli, Abdullah Saleem, Shakeel Muhammad

Publikováno v: Journal of Intelligent Systems, Vol 29, Iss 1, Pp 1643-1661 (2019)

Trapezoidal cubic fuzzy numbers (TzCFNs) are an extraordinary cubic fuzzy set on a real number set. TzCFNs are useful for dealing with well-known quantities in decision data and decision making problems themselves. This paper is about multi-attribute

Externí odkaz: https://doaj.org/article/ac030883bd544843b987da35cd8266e5

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Akademický článek

Trapezoidal Linguistic Cubic Fuzzy TOPSIS Method and Application in a Group Decision Making Program

Autor: Fahmi Aliya, Abdullah Saleem, Amin Fazli, Aslam Muhammad, Hussain Shah

Publikováno v: Journal of Intelligent Systems, Vol 29, Iss 1, Pp 1283-1300 (2019)

The aim of this paper is to define some new operation laws for the trapezoidal linguistic cubic fuzzy number and Hamming distance. Furthermore, we define and use the trapezoidal linguistic cubic fuzzy TOPSIS method to solve the multi criteria decisio

Externí odkaz: https://doaj.org/article/667a0efc3c304508bc38ee0048048e38

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Akademický článek

Pythagorean Fuzzy Einstein Hybrid Averaging Aggregation Operator and its Application to Multiple-Attribute Group Decision Making

Autor: Rahman Khaista, Abdullah Saleem, Ali Asad, Amin Fazli

Publikováno v: Journal of Intelligent Systems, Vol 29, Iss 1, Pp 736-752 (2018)

Pythagorean fuzzy set is one of the successful extensions of the intuitionistic fuzzy set for handling uncertainties in information. Under this environment, in this paper, we introduce the notion of Pythagorean fuzzy Einstein hybrid averaging (PFEHA)

Externí odkaz: https://doaj.org/article/2441e88910e14355ae8fb4f383c1e59f

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Akademický článek

Precursor Selection for Sol–Gel Synthesis of Titanium Carbide Nanopowders by a New Cubic Fuzzy Multi-Attribute Group Decision-Making Model

Autor: Fahmi Aliya, Abdullah Saleem, Amin Fazli, Ali Asad

Publikováno v: Journal of Intelligent Systems, Vol 28, Iss 5, Pp 699-720 (2017)

In this paper, we construct an extended version of the TOPSIS method by using cubic information, and provide a numerical application to verify and demonstrate the practicality of the method. A new extension of the gray relation analysis (GRA) method

Externí odkaz: https://doaj.org/article/3e0254b20ad24f9985d71b2385e97fc4

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