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Entropy Measure for the Linguistic q-Rung Orthopair Fuzzy Set

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Soft Computing: Theories and Applications

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 627))

Abstract

A linguistic q-rung orthopair fuzzy set (Lq-ROFS) is a valuable tool for conveying the complexity of any qualitative data set, as well as a generalization of the linguistic intuitionistic fuzzy set (LIFS) and the linguistic Pythagorean fuzzy set (LPFS). The primary goal of this research is to develop a novel technique for measuring the uncertainty of Lq-ROFS. We propose an entropy measure for Lq-ROFSs to do this. Several desirable features and criteria of the proposed entropy measure are also explored in order to validate it. Finally, a few numerical examples are used to show how the proposed entropy measure of Lq-ROFSs is better than the ones that are already in use.

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Authors and Affiliations

  1. Department of Mathematics, Amity School of Applied Sciences, Amity University Haryana, Gurugram, India

    Neelam, Kamal Kumar & Reeta Bhardwaj

Authors
  1. Neelam
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  2. Kamal Kumar
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  3. Reeta Bhardwaj
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Corresponding author

Correspondence to Reeta Bhardwaj .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan, India

    Rajesh Kumar

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

    Ajit Kumar Verma

  3. Department of Computer Science, Shobhit University, Gangoh, India

    Tarun K. Sharma

  4. Department of Instrumentation and Control Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Om Prakash Verma

  5. University Institute of Technology, Himachal Pradesh University, Shimla, Himachal Pradesh, India

    Sanjay Sharma

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Neelam, Kumar, K., Bhardwaj, R. (2023). Entropy Measure for the Linguistic q-Rung Orthopair Fuzzy Set. In: Kumar, R., Verma, A.K., Sharma, T.K., Verma, O.P., Sharma, S. (eds) Soft Computing: Theories and Applications. Lecture Notes in Networks and Systems, vol 627. Springer, Singapore. https://doi.org/10.1007/978-981-19-9858-4_14

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