A reliable wireless communication mechanisms and decision support system for the IoT networks

Jin, Bo; Khan, Fazlullah; Alturki, Ryan; Ikram, Mohammed Abdulaziz

doi:10.1007/s00500-022-06875-6

Cited by 4 publications

(2 citation statements)

References 26 publications

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“…However, it is sometimes inappropriate to use crisp numbers since the decision environment is extremely complicated, and DEs fail to understand the opinion target completely. On the basis of these requirements, Zadeh [1] proposed the definition of fuzzy set (FS) in 1965, which utilized the membership grade to evaluate alternatives and has been the subject of several issues [2], [3], [4], [5] and in-depth investigations, particularly in MCGDM [6], [7]. Atanassov [8] subsequently added the non-membership grade to FS and produced the definition of intuitionistic FS (IFS).…”

Section: Introductionmentioning

confidence: 99%

r, s, t-Spherical Fuzzy VIKOR Method and Its Application in Multiple Criteria Group Decision Making

Ali

Naeem

2023

IEEE Access

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This study intends to significantly enhance the capacity of decision experts (DEs) to capture their judgment in a larger area. In order to accomplish this, we propound the r, s, t-spherical fuzzy set (r, s, t-SFS), an expansion of the t-spherical fuzzy set. In r, s, t-SFS the sum of the rth power of membership grade, sth power of neutral grade and the tth power of non-membership grade is less than or equal to 1, where r, s and t are natural numbers. Due to the inclusion of the extra parameters r and s, the r, s, t-SFS is able to describe assessment information in a more flexible and comprehensive manner. This work begins by defining r, s, t-SFS and demonstrating that it is an extension of various existing fuzzy sets. The fundamental operations, score, and accuracy functions of r, s, t-SFS are then introduced, and their mathematical features are examined. Also, we study some distance measures between r, s, t-SFSs and their required properties. Next, to aggregate r, s, t-spherical fuzzy data, r, s, t-spherical fuzzy weighted averaging (r, s, t-SFWA) and r, s, t-spherical fuzzy weighted geometric (r, s, t-SFWG) operators are bring forward along with some of their essential properties. Based on the proposed distance measure, maximizing deviation method is combined with r, s, t-spherical fuzzy information to establish the criteria weight determination method. Following this, we present r, s, t-spherical fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method using the grounds of classical VIKOR method depending upon two focal properties, namely, group utility and individual regret of opponent. To demonstrate the use of the framed approach and exhibit its validity, we present a case study of arc welding robot selection. Besides, the effectiveness and accuracy of the proposed VIKOR are proved by parameter analysis and comparison analysis findings.

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Section: Introductionmentioning

confidence: 99%

r, s, t-Spherical Fuzzy VIKOR Method and Its Application in Multiple Criteria Group Decision Making

Ali

Naeem

2023

IEEE Access

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“…Al-Shami et al [11] defned new generalization of fuzzy soft sets: (a, b)fuzzy soft sets. Jin et al [12] proposed a reliable wireless communication mechanisms and decision support system for the IoT networks.…”

Section: Introductionmentioning

confidence: 99%

Decision-Making Based on Spherical Linear Diophantine Fuzzy Rough Aggregation Operators and EDAS Method

Qiyas,

Khan,

Naeem

et al. 2023

Journal of Mathematics

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In everyday life, decision-making is a difficult task fraught with ambiguity and uncertainty. Many researchers and scholars have suggested numerous fuzzy set theories to resolve these ambiguities and uncertainties. The EDAS method (evaluation based on distance from average answer) is extremely beneficial in decision-making situations. In multi-attribute group decision-making (MAGDM) situations, this is especially true when there are more competing criteria. In this paper, we introduce the concept of spherical linear diophantine fuzzy rough sets (SLDFRSs). We develop basic operational laws and a number of propose aggregation operators. Furthermore, the necessary and desired features of SLDFRS are explored. This study proposes a new technique known as the spherical linear diophantine fuzzy rough set EDAS (SLDFRS-EDAS) method to deal with these uncertainties in the MAGDM problem. A MAGDM technique is intended to evaluate the emergency system based on the newly introduced operators. Furthermore, a comparison study of the activity and applicability of the suggested approach with earlier procedures is used to validate its viability and applicability.

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Editorial on decision support system for development of intelligent applications

et al. 2022

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A reliable wireless communication mechanisms and decision support system for the IoT networks

Cited by 4 publications

References 26 publications

r, s, t-Spherical Fuzzy VIKOR Method and Its Application in Multiple Criteria Group Decision Making

r, s, t-Spherical Fuzzy VIKOR Method and Its Application in Multiple Criteria Group Decision Making

Decision-Making Based on Spherical Linear Diophantine Fuzzy Rough Aggregation Operators and EDAS Method

Editorial on decision support system for development of intelligent applications

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