Representing Social Network Patient Data as Evidence-Based Knowledge to Support Decision Making in Disease Progression for Comorbidities

Krishnamurthy, Madan; Marcinek, Pawel; Malik, Khalid Mahmood; Afzal, Muhammad

doi:10.1109/access.2018.2810702

Cited by 12 publications

(10 citation statements)

References 20 publications

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“…Finally, an illustrative example is given to demonstrate the efficiency of the similarity measures for selecting the desirable ERP system. In the future, the application of the proposed Dice similarity measure of PFSs needs to be explored in decision making, risk analysis and many other fields under uncertain environment …”

Section: Discussionmentioning

confidence: 99%

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The generalized Dice similarity measures for Pythagorean fuzzy multiple attribute group decision making

2019

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The Pythagorean fuzzy set (PFS) is characterized by two functions expressing the degree of membership and the degree of nonmembership, which square sum of them is equal or less than 1. It was proposed as a generalization of a fuzzy set to deal with indeterminate and inconsistent information. In this study, we shall present some novel Dice similarity measures of PFSs and the generalized Dice similarity measures of PFSs and indicates that the Dice similarity measures and asymmetric measures (projection measures) are the special cases of the generalized Dice similarity measures in some parameter values. Then, we propose the generalized Dice similarity measures‐based multiple attribute group decision‐making models with Pythagorean fuzzy information. Then, we apply the generalized Dice similarity measures between PFSs to multiple attribute group decision making. Finally, an illustrative example is given to demonstrate the efficiency of the similarity measures for selecting the desirable ERP system.

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Section: Discussionmentioning

confidence: 99%

“…In the future, the application of the proposed Dice similarity measure of PFSs needs to be explored in decision making, [73][74][75][76][77][78][79][80][81][82][83][84] risk analysis 85,86 and many other fields under uncertain environment. [87][88][89][90][91][92][93][94]…”

Section: Discussionmentioning

confidence: 99%

The generalized Dice similarity measures for Pythagorean fuzzy multiple attribute group decision making

2019

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“…Finally, a practical example for construction engineering project risk assessment was given to show the developed approach. In the future, the application of the 2TLNNs needs to be investigated under uncertain [35][36][37][38][39][40][41][42][43][44][45][46] and fuzzy environments [47][48][49][50][51][52][53][54].…”

Section: Discussionmentioning

confidence: 99%

Research on Construction Engineering Project Risk Assessment with Some 2-Tuple Linguistic Neutrosophic Hamy Mean Operators

et al. 2018

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In this paper, we expand the Hamy mean (HM) operator, weighted Hamy mean (WHM), dual Hamy mean (DHM) operator, and weighted dual Hamy mean (WDHM) operator with 2-tuple linguistic neutrosophic numbers (2TLNNs) to propose a 2-tuple linguistic neutrosophic Hamy mean (2TLNHM) operator, 2-tuple linguistic neutrosophic weighted Hamy mean (2TLNWHM) operator, 2-tuple linguistic neutrosophic dual Hamy mean (2TLNDHM) operator, and 2-tuple linguistic neutrosophic weighted dual Hamy mean (2TLNWDHM) operator. Then, the multiple attribute decision-making (MADM) methods are proposed with these operators. Finally, we utilize an applicable example in risk assessment for construction engineering projects to prove the proposed methods.

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“…In the future, our proposed TFNN VIKOR model can be applied to risk analysis, MCGDM problems [46][47][48][49][50][51][52][53][54][55][56][57] and many other uncertain and fuzzy environments [58][59][60][61][62][63][64][65][66][67][68][69][70][71][72][73][74].…”

Section: Discussionmentioning

confidence: 99%

An Extended VIKOR Method for Multiple Criteria Group Decision Making with Triangular Fuzzy Neutrosophic Numbers

Wang

Wei

2018

Symmetry

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In this article, we combine the original VIKOR model with a triangular fuzzy neutrosophic set to propose the triangular fuzzy neutrosophic VIKOR method. In the extended method, we use the triangular fuzzy neutrosophic numbers (TFNNs) to present the criteria values in multiple criteria group decision making (MCGDM) problems. Firstly, we summarily introduce the fundamental concepts, operation formulas and distance calculating method of TFNNs. Then we review some aggregation operators of TFNNs. Thereafter, we extend the original VIKOR model to the triangular fuzzy neutrosophic environment and introduce the calculating steps of the TFNNs VIKOR method, our proposed method which is more reasonable and scientific for considering the conflicting criteria. Furthermore, a numerical example for potential evaluation of emerging technology commercialization is presented to illustrate the new method, and some comparisons are also conducted to further illustrate advantages of the new method.

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Representing Social Network Patient Data as Evidence-Based Knowledge to Support Decision Making in Disease Progression for Comorbidities

Cited by 12 publications

References 20 publications

The generalized Dice similarity measures for Pythagorean fuzzy multiple attribute group decision making

The generalized Dice similarity measures for Pythagorean fuzzy multiple attribute group decision making

Research on Construction Engineering Project Risk Assessment with Some 2-Tuple Linguistic Neutrosophic Hamy Mean Operators

An Extended VIKOR Method for Multiple Criteria Group Decision Making with Triangular Fuzzy Neutrosophic Numbers

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