Multi-criteria decision making problem for evaluating ERP system using entropy weighting approach and q-rung orthopair fuzzy TODIM

Arya, Vikas; Kumar, Satish

doi:10.1007/s41066-020-00242-2

Cited by 27 publications

(10 citation statements)

References 50 publications

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“…are not suitable for differentiating the information conveyed by IFSs. But V HY (M 2 ), V R,S G and V are also satisfy the ranking order in Equation (25). The effectiveness of the proposed fuzzy measure V (=2) (M 2 ), V R,S G and V HY (M 2 ) is indicated by this example once again.…”

Section: Numerical Examplesmentioning

confidence: 60%

“…It is shown that these ranked orders do not satisfy intuitive analysis in Equation (25), while other entropy measures can induce desirable results. In this example,…”

Section: Numerical Examplesmentioning

confidence: 99%

“…Because decision-making problem is frequently produced from a complicated environment, evaluated information is usually fuzzy. Under different environments such as IFS [9], T-spherical FSs [22], interval valued T-spherical FSs [23], qrung orthopair FSs [24,25], various researchers presented various kinds of algorithms based on aggregation operator and entropy measures to solve the decision-making problems [18,21,23,[26][27][28].…”

Section: Introductionmentioning

confidence: 99%

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A Novel VIKOR-TODIM Approach Based on Havrda–Charvat–Tsallis Entropy of Intuitionistic Fuzzy Sets to Evaluate Management Information System

Arya

Kumar

2019

Fuzzy Information and Engineering

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The utilisation of Management information system has grabbed the attention since last decades. The selection of management sources is a difficult assignment for decision-experts. Thus, the present article develops a new technique using entropy measures and a novel extended VIKOR-TODIM model of Intuitionistic Fuzzy Sets. A new parametric entropy measure based on Havrda-Charvat-Tsallis entropy for a probability distribution is proposed and discussed their particular cases. Some properties of this measure has been proved mathematically. A comparison of proposed entropy measure with several existing entropy measures is shown to demonstrate the consistency of the proposed approach. In this paper, we proposed an integrated approach based on VIKOR and TODIM and entropyweighted method for solving multi-criteria decision-making problems under intuitionistic fuzzy environment and the criteria weights are partial known. Firstly, the problem with multi-criteria decisionmaking is designed and the steps, principles of the proposed VIKOR-TODIM method are presented. Finally, to verify the applicability and feasibility of the proposed approach, a problem of management information system in a teaching hospital is presented and compared the results with other existing methods. The present work demonstrated, that the proposed VIKOR-TODIM is effective to select and evaluate management information system in any organisation.

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Section: Numerical Examplesmentioning

confidence: 60%

“…It is shown that these ranked orders do not satisfy intuitive analysis in Equation (25), while other entropy measures can induce desirable results. In this example,…”

Section: Numerical Examplesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Novel VIKOR-TODIM Approach Based on Havrda–Charvat–Tsallis Entropy of Intuitionistic Fuzzy Sets to Evaluate Management Information System

Arya

Kumar

2019

Fuzzy Information and Engineering

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“…Krishankumar et al ( 2020 ) proposed a decision model for solving the renewable energy resource assessment problem with q-ROF information. Further, an attempt has been accomplished to create an innovative q-ROF information based decision-making method for solving the MCDM problems (Arya and Kumar 2020 ). Recently, Alkan and Kahraman ( 2021 ) studied two extended q-ROF information based methods for assessing the government strategies against COVID-19 outbreak.…”

Section: Literature Reviewmentioning

confidence: 99%

A q-rung orthopair fuzzy ARAS method based on entropy and discrimination measures: an application of sustainable recycling partner selection

Mishra

Rani

2021

J Ambient Intell Human Comput

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“…Apart from these, q-ROpFSs are widely scrutinized by the researcher and implemented them in decision-making approaches. [18][19][20][21][22][23][24][25][26] In MADM and multiple-attribute group decision making (MAGDM) problems, the decision makers can provide potential linguistic terms such that these offered potential values can lead diverse probability distributions. Decision-making problems for the cases of multiattributes usually may be considered with complete sorts of vagueness and uncertainties.…”

mentioning

confidence: 99%

Extended TODIM method based on VIKOR for q‐rung orthopair fuzzy information measures and their application in MAGDM problem of medical consumption products

Arya

Kumar

2021

Int J of Intelligent Sys

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Nowadays, supply chain management (SCM) has achieved considerable attention from all over the world. q‐rung orthopair fuzzy set, developed by Yager, is the entirety of the most prominent tool to express fuzzy data in the decision‐making problems. In this study, the introduction of two new generalised measures (entropy and Jensen–Tsalli divergence measure) of q‐rung orthopair fuzzy information involving one real parameter is given. The proposed measures have satisfied all the necessary mathematical properties of being a measure. Then the introduced entropy and divergence measure is used to obtain the objective weights. Based on the proposed entropy and divergence measure, we proposed a new decision method to deal with multiple‐attribute group decision‐making problems under the q‐rung orthopair fuzzy environment. Then, on the basis of the TODIM and VIKOR techniques, an integrated TODIM‐VIKOR approach is developed to solve multiattribute group decision‐making problem. In this paper, TODIM aims to determine the overall dominance degree and VIKOR aims to determine the compromise solution. Lastly, we handle a supplier selection problem to verify the performance of the proposed q‐rung orthopair fuzzy TODIM‐VIKOR method and results explore the reliability and effectiveness of our proposed methodology by comparing the ranking solution with the ranking results of the existing approaches.

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Multi-criteria decision making problem for evaluating ERP system using entropy weighting approach and q-rung orthopair fuzzy TODIM

Cited by 27 publications

References 50 publications

A Novel VIKOR-TODIM Approach Based on Havrda–Charvat–Tsallis Entropy of Intuitionistic Fuzzy Sets to Evaluate Management Information System

A Novel VIKOR-TODIM Approach Based on Havrda–Charvat–Tsallis Entropy of Intuitionistic Fuzzy Sets to Evaluate Management Information System

A q-rung orthopair fuzzy ARAS method based on entropy and discrimination measures: an application of sustainable recycling partner selection

Extended TODIM method based on VIKOR for q‐rung orthopair fuzzy information measures and their application in MAGDM problem of medical consumption products

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