Unified Fuzzy Divergence Measures with Multi-Criteria Decision Making Problems for Sustainable Planning of an E-Waste Recycling Job Selection

Rani, Pratibha; Govindan, Kannan; Mishra, Arunodaya Raj; Mardani, Abbas; Alrasheedi, Melfi; Hooda, D. S.

doi:10.3390/sym12010090

Cited by 16 publications

(11 citation statements)

References 49 publications

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“…There is a slight difference in the ranking order of fuzzy TOPSIS, fuzzy divergence measures, and the proposed methods for staff performance appraisal. All methods except the fuzzy divergence measure proposed by Rani et al [41] conclude that the optimal alternative A 10 is the best staff in the department. The proposed method of divergence measure has several advantages.…”

Section: Methodsmentioning

confidence: 99%

“…Average CPU time, ms Fuzzy Divergence Measures by Rani et al [41] 134.375 Fuzzy Divergence Measures by Rani et al [42] 128.125 Proposed Method 82.813…”

Section: Methodsmentioning

confidence: 99%

“…Additionally, some properties of the proposed divergence measure are also discussed. Then, Rani et al [41] proposed a method based on divergence measure for fuzzy sets (FSs) to evaluate the MCDM problems under the fuzzy atmosphere. After a short period, Rani et al [42] proposed a fuzzy TOPSIS method with a divergence measure to tackle decision-making issues.…”

Section: Introductionmentioning

confidence: 99%

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A New Divergence Measure based on Fuzzy TOPSIS for Solving Staff Performance Appraisal

Saidin¹,

S.²,

Bakar³

et al. 2022

MJMS

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Various divergence measure methods have been used in many applications of fuzzy set theory for calculating the discrimination between two objects. This paper aims to develop a novel divergence measure incorporated with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method, along with the discussions of its properties. Since ambiguity or uncertainty is an inevitable characteristic of multi-criteria decision-making (MCDM) problems, the fuzzy concept is utilised to convert linguistic expressions into triangular fuzzy numbers. A numerical example of a staff performance appraisal is given to demonstrate suggested method's effectiveness and practicality. Outcomes from this study were compared with various MCDM techniques in terms of correlation coefficients and central processing unit (CPU) time. From the results, there is a slight difference in the ranking order between the proposed method and the other MCDM methods as all the correlation coefficient values are more than 0.9. It is also discovered that CPU time of the proposed method is the lowest compared to the other divergence measure techniques. Hence, the proposed method provides a more sensible and feasible solutions than its counterparts.

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Section: Methodsmentioning

confidence: 99%

“…Average CPU time, ms Fuzzy Divergence Measures by Rani et al [41] 134.375 Fuzzy Divergence Measures by Rani et al [42] 128.125 Proposed Method 82.813…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A New Divergence Measure based on Fuzzy TOPSIS for Solving Staff Performance Appraisal

Saidin¹,

S.²,

Bakar³

et al. 2022

MJMS

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“…Authors from India have published seven papers. Apart from mentioned [31][32][33][34] they have cooperated as follow: India-UAE [35], Chile-India [36] and India-Denmark-Vietnam-Saudi Arabia [37]. Authors from Slovenia and Taiwan contributed without international cooperation, two papers from Slovenia [38,39] and one from Taiwan [40].…”

Section: Contributionsmentioning

confidence: 99%

Multi-Criteria Decision-Making Techniques for Improvement Sustainability Engineering Processes

Zavadskas¹,

Pamučar²,

Stević³

et al. 2020

Symmetry

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The success of any activity and process depends fundamentally on the possibility of balancing (symmetry) needs and their satisfaction. That is, the ability to properly define a set of success indicators. The application of the developed new multi-criteria decision-making (MCDM) methods can be eliminated or decreased by decision-makers’ subjectivity, which leads to consistency or symmetry in the weight values of the criteria. In this Special Issue, 40 research papers and one review study co-authored by 137 researchers from 23 different countries explore aspects of multi-criteria modeling and optimization in crisp or uncertain environments. The papers proposing new approaches and elaborate case studies in the following areas of applications: MCDM optimization in sustainable engineering, environmental sustainability in engineering processes, sustainable multi-criteria production and logistics processes planning, integrated approach for modeling processes in engineering, new trends in the multi-criteria evaluation of sustainable processes, multi-criteria decision-making in strategic management based on sustainable criteria.

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“…The Choquet integral is applied in many fields, such as risk evaluation [10], fuzzy systems and control [11], decision-making, and more (see [12][13][14][15]). For the multi-attribute decision-making problem ( [12,16]), the multi-criteria decision-making problem [15], and the group decision-making problem [13], it can be used as aggregation operators to aggregate. Similarly, the C T -integral can be applied to multi-criteria decision-making problems; see [17].…”

Section: Introductionmentioning

confidence: 99%

CT-Integral on Interval-Valued Sugeno Probability Measure and Its Application in Multi-Criteria Decision-Making Problems

Hong

Shang

Gong

2022

Axioms

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It is well known that the complexity of the decision-making environment frequently coexists with the diversity of linguistic information in the decision-making process. In order to solve this kind of uncertain multi-criteria decision-making problem, reasonable measures and integrals should be established. In this paper, the discrete expression of the CT-integral on the interval-valued Sugeno probability measure is proposed. The CT-integral is the Choquet integral when the t-norm is T(x,y)=xy in the CT-integral and is a pre-aggregation function. Then, the CT-integral on interval-valued Sugeno probability measure is applied to solve end-of-life (EOL) strategy in order to determine multi-criteria decision-making problems. Compared with the general Choquet integral, the method proposed in this paper significantly improves the calculation process, that is, the calculation is simpler and the amount of calculation is smaller. A case study was performed in order to validate the effectiveness of this conclusion.

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Unified Fuzzy Divergence Measures with Multi-Criteria Decision Making Problems for Sustainable Planning of an E-Waste Recycling Job Selection

Cited by 16 publications

References 49 publications

A New Divergence Measure based on Fuzzy TOPSIS for Solving Staff Performance Appraisal

A New Divergence Measure based on Fuzzy TOPSIS for Solving Staff Performance Appraisal

Multi-Criteria Decision-Making Techniques for Improvement Sustainability Engineering Processes

CT-Integral on Interval-Valued Sugeno Probability Measure and Its Application in Multi-Criteria Decision-Making Problems

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