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Methods for Individual and Group Decision Making Using Interval-Valued Fuzzy Preference Relations

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Book cover Proceedings of the International Conference on Data Engineering and Communication Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 469))

Abstract

Although a lot of research has been done in studying and exploiting, both, interval valued fuzzy sets and intuitionistic fuzzy sets, we still believe a lot more focus is still required on interval-valued fuzzy preference relations (IVFPR). In this paper, our focus shall be IVFPRs as we put forward two algorithms, based on the additive and multiplicative consistencies, to select the best alternative from a certain set of alternatives. Fuzzy preference relations have few advantages in preciseness and consistency as they give the freedom, to the experts, to evaluate the alternatives relatively. Further, we also extend our algorithms to group decision making and demonstrate their efficacy through numerical illustrations.

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References

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Author information

Authors and Affiliations

  1. School of Computing Science and Engineering, VIT University, Vellore, Tamil Nadu, India

    B. K. Tripathy,  Viraj Sahai &  Neha Kaushik

Authors
  1. B. K. Tripathy
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  2. Viraj Sahai
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  3. Neha Kaushik
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Corresponding author

Correspondence to B. K. Tripathy .

Editor information

Editors and Affiliations

  1. Department of Computer Science & Engineering, ANITS, Visakhapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Dept. of ECE, Shri Ramswaroop Mem. Group of Prof. Clg, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. Sabar Institute of Technology, Tajpur, Sabarkantha, Gujarat, India

    Amit Joshi

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© 2017 Springer Science+Business Media Singapore

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Tripathy, B.K., Viraj Sahai, Neha Kaushik (2017). Methods for Individual and Group Decision Making Using Interval-Valued Fuzzy Preference Relations. In: Satapathy, S., Bhateja, V., Joshi, A. (eds) Proceedings of the International Conference on Data Engineering and Communication Technology. Advances in Intelligent Systems and Computing, vol 469. Springer, Singapore. https://doi.org/10.1007/978-981-10-1678-3_19

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  • DOI: https://doi.org/10.1007/978-981-10-1678-3_19

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1677-6

  • Online ISBN: 978-981-10-1678-3

  • eBook Packages: EngineeringEngineering (R0)

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