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Grey Number Based Methodology for Non-homogeneous Preference Elicitation in Fuzzy Risk Analysis Management

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Applying Fuzzy Logic for the Digital Economy and Society

Part of the book series: Fuzzy Management Methods ((FMM))

Abstract

Risk analysis plays a crucial role in mitigating the levels of harm of a risk. In real world scenarios, it is a big challenge for risk analysts to make a proper and comprehensive decision when coping with the risks. Many practical risk analysis problems do not have flexibility with regards to knowledge elicitation and disagreements in the group. This is due to the non-homogeneous nature of risk analysts’ preferences that lead to inconsistent agreements in the process of group decision making. In this chapter, a novel non-homogeneous preference elicitation based on grey numbers for risk analysis problem is proposed. Grey numbers allow more flexibility for non-homogeneous preference elicitation in uncertain, vague and fuzzy environment. This work also introduces a novel theoretical non-homogeneous consensus reaching methodology that resolves disagreement between risk analysts. A case study on risk analysis decision making is also presented to demonstrate the novelty, validity and feasibility of the proposed methodology.

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Author information

Authors and Affiliations

  1. Mathematics Division, Centre for Foundation Studies in Science, University of Malaya, Kuala Lumpur, Malaysia

    Ahmad Syafadhli Abu Bakar & Ahmad Zaki Mohamad Amin

  2. Centre of Research for Computational Sciences and Informatics in Biology, Bioindustry, Environment, Agriculture and Healthcare (CRYSTAL), University of Malaya, Kuala Lumpur, Malaysia

    Ahmad Syafadhli Abu Bakar

  3. Department of Science Program (Mathematics), Faculty of Industrial Sciences and Technology, Universiti Malaysia Pahang, Pahang, Malaysia

    Ku Muhammad Naim Ku Khalif

  4. School of Quantitative Sciences, Universiti Utara Malaysia, Kedah, Malaysia

    Abdul Malek Yaakob

  5. School of Computing, University of Portsmouth, Portsmouth, UK

    Alexander Gegov

Authors
  1. Ahmad Syafadhli Abu Bakar
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  2. Ku Muhammad Naim Ku Khalif
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  3. Abdul Malek Yaakob
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  4. Alexander Gegov
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  5. Ahmad Zaki Mohamad Amin
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Corresponding author

Correspondence to Ahmad Syafadhli Abu Bakar .

Editor information

Editors and Affiliations

  1. Department of Informatics, University of Fribourg, Fribourg, Switzerland

    Andreas Meier

  2. Human-IST Institute, University of Fribourg, Fribourg, Switzerland

    Edy Portmann

  3. Department of Computer Science, Universidad de las Fuerzas Armadas (ESPE), SangolquĂ­, Ecuador

    Luis Terán

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Bakar, A.S.A., Khalif, K.M.N.K., Yaakob, A.M., Gegov, A., Amin, A.Z.M. (2019). Grey Number Based Methodology for Non-homogeneous Preference Elicitation in Fuzzy Risk Analysis Management. In: Meier, A., Portmann, E., Terán, L. (eds) Applying Fuzzy Logic for the Digital Economy and Society. Fuzzy Management Methods. Springer, Cham. https://doi.org/10.1007/978-3-030-03368-2_7

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