Exponential Intuitionistic Fuzzy Information Measure with Assessment of Service Quality

Mishra, Arunodaya Raj; Jain, Divya; Hooda, D. S.

doi:10.1007/s40815-016-0278-6

Cited by 46 publications

(21 citation statements)

References 23 publications

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“…To alleviate the drawbacks of FSs, Atanassov (1986) expanded the theory of the FS into the intuitionistic fuzzy set (IFS), characterized by MG and NG, including the hesitancy of decision-makers. Subsequently, it provides us a powerful tool to handle the vagueness and imprecision in real problems (Du, 2021;Mishra et al, 2017a). In the recent past, the application of IFSs has received considerable attention for solving numerous decision-making problems (Mishra et al, 2017b(Mishra et al, , 2019aRani et al, 2019a;Zhang et al, 2020).…”

Section: Contribution Of the Papermentioning

confidence: 99%

Sustainable supply chains under risk in the manufacturing firms: an extended double normalization-based multiple aggregation approach under an intuitionistic fuzzy environment

Wang

Rani

2021

JEIM

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PurposeIn recent years, a number of researchers have attempted to make an integration of sustainability with supply chain risk management. These studies have led to valued insights into this issue, though there is still a lack of knowledge about the mechanisms by which sustainability-related issues are materialized as risks in the supply chain management.Design/methodology/approachThe paper aims to provide a comprehensive framework to evaluate the sustainability risk in the supply chain management mechanism. To do so, a novel approach using the double normalization-based multiple aggregation (DNMA) approach under the intuitionistic fuzzy (IF) environment is extended to identify, rank and evaluate the sustainability risk factors in supply chain management.FindingsTo provide comprehensive sustainability risk factors, this study has conducted a survey using interview and literature review. In this regard, this study identified 36 sustainability risk factors in supply chain management of the manufacturing firms in five different groups of risk, including sustainable operational risk factors, economic risk factors, environmental risk factors, social risk factors, and sustainable distribution and recycling risk factors. The results of this paper found that the poor planning and scheduling was the important sustainability risk in supply chain management of the manufacturing firms, followed by the environmental accidents, production capacity risk, product design risk and exploitative hiring policies. In addition, the results of the study found that the extended approach was effective and efficient in evaluating the sustainability risk factors in supply chain management of the manufacturing firms.Originality/valueThree aggregation methods based on the normalization techniques are discussed. A DNMA method is proposed under intuitionistic fuzzy sets (IFSs). To propose a broad procedure for identifying and classifying sustainability risk factors (ESFs) in supply chain management. To rank the sustainability risk factor, the authors utilize a procedure for evaluating the significance degree of the sustainability risk factor in supply chain management.

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Section: Contribution Of the Papermentioning

confidence: 99%

Sustainable supply chains under risk in the manufacturing firms: an extended double normalization-based multiple aggregation approach under an intuitionistic fuzzy environment

Wang

Rani

2021

JEIM

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“…The use of information measures is an efficient tool to achieve this goal. Many researchers, mainly including Zadeh [62], Ansari et al [2], Murthy et al [36], Lin [29], Chaudhuri and Bhattacharya [8], Broumi and Smarandache [7], Rajarajeswari and Uma [45,46], Ye [59,60], Chiang and Lin [9], Zeng and Li [64], Mitchell [34], Garggargcc, Khan and Ansari [28], Peng et al [42], Peng [43], Peng and Liu [44], Riaz et al [48], Zeng et al [63], Ye [58], Türkarslan et al [52], Gerstenkorn and Manko [19], Singh and Ganie [49], Hong and Hwang [22], Hung and Wu [23], Mishra et al [33], Hung [24], Cui and Ye [10], Deng et al [11], Firozja et al [13], Garg and Arora [14], Garg and Nancy [16], Lu and Ye [30], Irfan et al [25], Jafar et al [26], Wei [55], Jiang et al [27], Nancy and Garg [40], Wang and Zhao [53], Hashmi et al [21], Xue et al [56], and Zulqarnain et al [65,66] worked on different sorts of information measures...…”

Section: Introductionmentioning

confidence: 99%

Information Measures for MADM Underm-Polar Neutrosophic Environment

Naeem

Divvaz

2022

Preprint

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Multiploar information plays a vital role in making reliable decisions in one’s daily life encompassing micro to large scale decisions. These decision making problems often include imprecise and inconsistent data. This article presents some information measures including similarity, distance, correlation, divergence and Dice measures for m-polar neutrosophic sets. Desirable characteristics of these measures are also presented. The notions of angle of similarity between two m-polar neutrosophic sets, λ -similarity, entropy and less and more fuzzy are also made part of the discussion. An application of m-polar neutrosophic sets using the suggested measures in health sciences accompanied by five algorithms is also presented. Finally, comparative analysis of the proposed information measures with some existing measures is also presented.

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“…To evaluate the discrimination information between IFSs, first, Vlachos and Sergiadis (2007) proposed IF-discrimination measure, established relation between them and implemented it in various disciplines. Consequently, various prominent discrimination measures have been introduced for FSs and IFSs (Mishra et al, 2017b;Ansari et al, 2018;Rani et al, 2019a;Jiang et al, 2019;Liang et al, 2019b;Rani et al, 2020;Mishra et al, 2020bMishra et al, , 2020cKumari and Mishra, 2020).…”

Section: Introductionmentioning

confidence: 99%

An Extended Intuitionistic Fuzzy Multi-Attributive Border Approximation Area Comparison Approach for Smartphone Selection Using Discrimination Measures

Mishra¹,

Garg²,

Purwar³

et al. 2020

Informatica

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The objective of the paper is to introduce a novel approach using the multi-attribute border approximation area comparison (MABAC) approach under intuitionistic fuzzy sets (IFSs) to solve the smartphone selection problem with incomplete weights or completely unknown weights. A novel discrimination measure of IFSs is proposed to calculate criteria weights. In view of the fact that the ambiguity is an unavoidable feature of multiple-criteria decision-making (MCDM) problems, the proposed approach is an innovative process in the decision-making under uncertain settings. To express the utility and strength of the developed approach for solving problems in the area of MCDM, a smartphone selection problem is demonstrated. To validate the IF-MABAC approach, a comparative discussion is made between the outcomes of the developed and those of the existing methods. The outcomes of analysis demonstrate that the introduced method is well-ordered and effective with the existing ones.

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Exponential Intuitionistic Fuzzy Information Measure with Assessment of Service Quality

Cited by 46 publications

References 23 publications

Sustainable supply chains under risk in the manufacturing firms: an extended double normalization-based multiple aggregation approach under an intuitionistic fuzzy environment

Sustainable supply chains under risk in the manufacturing firms: an extended double normalization-based multiple aggregation approach under an intuitionistic fuzzy environment

Information Measures for MADM Underm-Polar Neutrosophic Environment

An Extended Intuitionistic Fuzzy Multi-Attributive Border Approximation Area Comparison Approach for Smartphone Selection Using Discrimination Measures

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