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Application of an Artificial Intelligence Decision-Making Method for the Selection of Maintenance Strategy

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10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019 (ICSCCW 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1095))

Abstract

Multi-criteria decision-making (MCDM) methods have been extensively used in different types of engineering applications. Therefore, the viability and reliability of the methods are always considered as a requirement in order to be adopted in different situations. Best worst method (BWM) which has recently been introduced to increase the consistency and uniformity of MCDM, using a multi-objective mathematical programming, has enough capability to determine the optimum results in a decision making problem. The study aims to utilize the BWM to select and prioritize maintenance strategy in offshore operation. In this respect, a group of decision makers participated in the assessment by expressing their opinions. Typically, if the final evaluation result is close to each expert’s opinion, subsequently the expert will accept it. Due to the fact that, BWM results in the optimum values; the results would be accepted by all the experts that have participated in the study.

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Authors and Affiliations

  1. Universidade de Lisboa, Lisbon, Portugal

    Mohammad Yazdi

  2. Department of Tourism and Hotel Management, Near East University, 99138, Nicosia, TRNC, Mersin 10, Turkey

    Tulen Saner & Mahlagha Darvishmotevali

Authors
  1. Mohammad Yazdi
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  2. Tulen Saner
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  3. Mahlagha Darvishmotevali
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Corresponding author

Correspondence to Tulen Saner .

Editor information

Editors and Affiliations

  1. Joint MBA Program, Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    Rafik A. Aliev

  2. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  4. Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA

    Mo Jamshidi

  5. Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    Mustafa B. Babanli

  6. Department of Mechatronics, Near East University, Nicosia, Turkey

    Fahreddin M. Sadikoglu

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Yazdi, M., Saner, T., Darvishmotevali, M. (2020). Application of an Artificial Intelligence Decision-Making Method for the Selection of Maintenance Strategy. In: Aliev, R., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M., Sadikoglu, F. (eds) 10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019. ICSCCW 2019. Advances in Intelligent Systems and Computing, vol 1095. Springer, Cham. https://doi.org/10.1007/978-3-030-35249-3_31

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