Fuzzy comprehensive evaluation of rock burst risk based on combined subjective and objective weighting. [PDF]
Sci RepZhang J, Wang B, Lv Y, Liu X.
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Predicting the finished fabric width and areal density (Grams per Square Meter) of commercially produced plain Single Jersey (100% Cotton) Knitted Fabric using Fuzzy Inference System (FIS). [PDF]
PLoS OneYasin M +4 more
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Bipolar fuzzy soft expert set and its application in decision making
International Journal of Applied Decision Sciences, 2017In this paper, we extend the two concepts of bipolar fuzzy sets and soft expert sets to bipolar fuzzy soft expert sets. We will define its basic theoretic operation, namely complement, union, intersection, AND and OR on bipolar fuzzy soft expert sets along with illustrative examples, and study some related properties with supporting proofs.
Yousef Al-Qudah, Nasruddin Hassan
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Novel MCGDM analysis under m-polar fuzzy soft expert sets
Neural Computing and Applications, 2021Multi-criteria group decision-making (MCGDM) is an approach to tackle different decision-making situations, where the criteria that drive the decision are considered by different experts. Research regarding MCGDM is quite challenging due to both the structure of the problem and the existence of complex uncertain information. The goal of this article is
Muhammad Akram +2 more
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Decision-Making Method Based on Fuzzy N-Soft Expert Sets
Arabian Journal for Science and Engineering, 2020In this paper, we develop two novel hybrid models, namely N-soft expert set model and fuzzy N-soft expert set model. An N-soft expert set model is the combination of N-soft sets with soft expert sets, and a fuzzy N-soft expert model studies the fuzziness of N-soft expert sets.
Muhammad Akram, Dr. Ghous Ali, Ghous Ali
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Hybrid group decision-making technique under spherical fuzzy N-soft expert sets
Artificial Intelligence Review, 2021This paper presents the concept of a new hybrid model called spherical fuzzy N-soft expert sets, which is an extension of spherical fuzzy soft expert sets. The proposed model is highly suitable to describe the multinary data evaluation in terms of spherical fuzzy soft information considering multiple experts’ opinions.
Muhammad Akram +2 more
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A new expert system in prediction of lung cancer disease based on fuzzy soft sets
Soft Computing, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ahmed Mostafa Khalil +4 more
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Analysis of S-box image encryption based on generalized fuzzy soft expert set
Nonlinear Dynamics, 2014This article is about a criterion based on generalized fuzzy soft expert set to scrutinize the prevailing substitution boxes and learn their properties to sort out their suitability in image encryption applications. The projected criterion makes use of the results of correlation analysis, entropy analysis, contrast analysis, homogeneity analysis ...
Dr. Noor Ul Amin, Saleem Abdullah
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On spherical fuzzy soft expert sets
AIP Conference Proceedings, 2020As a generalization of Zadeh's fuzzy set theory, soft set theory was introduced by Molodtsov in 1999. It is a new mathematical tool to deal with uncertainty in a parametric manner. Also, it has a rich potential for applications in several directions. In 2011, Alkhazaleh and Salleh introduced the concept of soft expert sets where the user can know the ...
Fathima Perveen P. A. +2 more
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