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New Generation Computing
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10-08-2021

An Interval-Valued Intuitionistic Hesitant Fuzzy Methodology and Application

Author: Shailendra Kumar Bharati

Published in: New Generation Computing | Issue 2/2021

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Abstract

Using advantages of interval-valued intuitionistic hesitant fuzzy sets (IVIHFS) for describing the hesitant and intuitionistic decisions of experts and identifying the limitations of previous research works about optimization techniques, this paper introduces a new optimization technique and provides a new computational algorithm, applicable in various real life multiobjective optimization problem (MOOP) of engineering and management sectors, and for this, a new operation between IVIHFSs is first introduced. On the basis of this concept, a stepwise computational algorithm is constructed, and it is an extension of both fuzzy and intuitionistic fuzzy optimization techniques. Finally, the proposed algorithm is illustrated using a production planning problem, and the obtained results are compared with the existing optimization techniques.
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Appendix
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Metadata
Title
An Interval-Valued Intuitionistic Hesitant Fuzzy Methodology and Application
Author
Shailendra Kumar Bharati
Publication date
10-08-2021
Publisher
Ohmsha
Published in
New Generation Computing / Issue 2/2021
Print ISSN: 0288-3635
Electronic ISSN: 1882-7055
DOI
https://doi.org/10.1007/s00354-021-00132-4

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