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A Hybrid Intuitionistic Fuzzy and Entropy Weight Based Multi-Criteria Decision Model with TOPSIS

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System Performance and Management Analytics

Part of the book series: Asset Analytics ((ASAN))

Abstract

In a scenario where decision-makers are always faced with the challenge of selecting the right technology for their IT needs posed due to the availability of multiple advanced technologies in the market and consequences related to wrong selection, Intuitionistic Fuzzy Sets (IFSs) have demonstrated effectiveness in dealing with such vagueness and hesitancy in the decision-making process. Here in this paper, we propose a hybrid IFS and entropy weight based Multi-Criteria Decision Model (MCDM) with Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The model helps measure the exactness and vagueness of each alternative over several criteria. An Intuitionistic Fuzzy Weighted Approach (IFWA) operator for aggregating individual decision-maker’s opinions regarding each alternative over every criterion is employed. Additionally, Shannon’s entropy method is used to measure criteria weights separately. We apply the proposed model in selection of cloud solution for managing big data projects.

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Author information

Authors and Affiliations

  1. Institute of Management Technology, Ghaziabad, Uttar Pradesh, India

    Nitin Sachdeva

  2. Amity Center for Interdisciplinary Research, Amity University, 201313, Noida, Uttar Pradesh, India

    P. K. Kapur

Authors
  1. Nitin Sachdeva
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  2. P. K. Kapur
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Corresponding author

Correspondence to Nitin Sachdeva .

Editor information

Editors and Affiliations

  1. Center for Interdisciplinary Research, Amity University, New Delhi, India

    P. K. Kapur

  2. Department of Economics and Management in Machine Building, Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia

    Yury Klochkov

  3. Western Norway University of Applied Sciences, Bergen, Norway

    Ajit Kumar Verma

  4. Amity University, Noida, Uttar Pradesh, India

    Gurinder Singh

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Sachdeva, N., Kapur, P.K. (2019). A Hybrid Intuitionistic Fuzzy and Entropy Weight Based Multi-Criteria Decision Model with TOPSIS. In: Kapur, P., Klochkov, Y., Verma, A., Singh, G. (eds) System Performance and Management Analytics. Asset Analytics. Springer, Singapore. https://doi.org/10.1007/978-981-10-7323-6_27

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