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The Use Of The Pivot Pairwise Relative Criteria Importance Assessment Method For Determining The Weights Of Criteria

Author

Listed:
  • Dragisa STANUJKIC

    (Technical Faculty in Bor, University of Belgrade, Serbija.)

  • Edmundas Kazimieras ZAVADSKAS

    (Research Institute of Smart Building Technologies, Vilnius Gediminas Technical University, Vilnius, Lithuania.)

  • Darjan KARABASEVIC

    (Faculty of Applied Management, Economics and Finance, University Business Academy in Novi Sad, Serbia.)

  • Florentin SMARANDACHE

    (Department of Mathematics, University of New Mexico, Gallup, USA.)

  • Zenonas TURSKIS

    (Research Institute of Smart Building Technologies, Vilnius Gediminas Technical University, Vilnius, Lithuania.)

Abstract

The weights of evaluation criteria could have a significant impact on the results obtained by applying multiple criteria decision-making methods. Therefore, the two extensions of the SWARA method that can be used in cases when it is not easy, or even is impossible to reach a consensus on the expected importance of the evaluation criteria are proposed in this paper. The primary objective of the proposed extensions is to provide an understandable and easy-to-use approach to the collecting of respondents’ real attitudes towards the significance of evaluation criteria and to also provide an approach to the checking of the reliability of the data collected.

Suggested Citation

  • Dragisa STANUJKIC & Edmundas Kazimieras ZAVADSKAS & Darjan KARABASEVIC & Florentin SMARANDACHE & Zenonas TURSKIS, 2017. "The Use Of The Pivot Pairwise Relative Criteria Importance Assessment Method For Determining The Weights Of Criteria," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 116-133, December.
    • Handle: RePEc:rjr:romjef:v::y:2017:i:4:p:116-133
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    References listed on IDEAS

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    3. Professor Snezana UROSEVIC & Darjan KARABASEVIC & Dragisa STANUJKIC & Mladjan MAKSIMOVIC, 2017. "An Approach to Personnel Selection in the Tourism Industry Based on the SWARA and the WASPAS Methods," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 51(1), pages 75-88.
    4. Behzadian, Majid & Kazemzadeh, R.B. & Albadvi, A. & Aghdasi, M., 2010. "PROMETHEE: A comprehensive literature review on methodologies and applications," European Journal of Operational Research, Elsevier, vol. 200(1), pages 198-215, January.
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    7. Morteza Yazdani & Sarfaraz Hashemkhani Zolfani & Edmundas Kazimieras Zavadskas, 2016. "New integration of MCDM methods and QFD in the selection of green suppliers," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 17(6), pages 1097-1113, November.
    8. Edmundas Kazimieras Zavadskas & Abbas Mardani & Zenonas Turskis & Ahmad Jusoh & Khalil MD Nor, 2016. "Development of TOPSIS Method to Solve Complicated Decision-Making Problems — An Overview on Developments from 2000 to 2015," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(03), pages 645-682, May.
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    Cited by:

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    2. Namin, Farhad Samimi & Ghadi, Aliakbar & Saki, Farshad, 2022. "A literature review of Multi Criteria Decision-Making (MCDM) towards mining method selection (MMS)," Resources Policy, Elsevier, vol. 77(C).
    3. Andrea Dobrosavljević & Snežana Urošević & Milovan Vuković & Miroslav Talijan & Dragan Marinković, 2020. "Evaluation of Process Orientation Dimensions in the Apparel Industry," Sustainability, MDPI, vol. 12(10), pages 1-19, May.
    4. Bojan Matić & Stanislav Jovanović & Milan Marinković & Siniša Sremac & Dillip Kumar Das & Željko Stević, 2021. "A Novel Integrated Interval Rough MCDM Model for Ranking and Selection of Asphalt Production Plants," Mathematics, MDPI, vol. 9(3), pages 1-20, January.
    5. Dragisa Stanujkic & Darjan Karabasevic & Edmundas Kazimieras Zavadskas & Florentin Smarandache & Fausto Cavallaro, 2019. "An approach to determining customer satisfaction in traditional Serbian restaurants," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(3), pages 1127-1138, March.
    6. Dragisa STANUJKIC & Darjan KARABASEVIC & Gabrijela POPOVIC & Cipriana SAVA, 2021. "Simplified Pivot Pairwise Relative Criteria Importance Assessment (Piprecia-S) Method," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 141-154, December.
    7. Li, Yaxin & Ding, Yuxin & Guo, Yuliang & Cui, Haizhou & Gao, Haiyi & Zhou, Ziyu & (Aaron) Zhang, Nanbo & Zhu, Siyao & Chen, Faan, 2023. "An integrated decision model with reliability to support transport safety system analysis," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    8. Aşkın Özdağoğlu & Gülin Zeynep Öztaş & Murat Kemal Keleş & Volkan Genç, 2021. "An Integrated PIPRECIA and COPRAS Method under Fuzzy Environment: A Case of Truck Tractor Selection," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 9(2), pages 269-298, December.
    9. Popovic, Gabrijela & Stanujkic, Dragisa & Brzakovic, Miodrag & Karabasevic, Darjan, 2019. "A multiple-criteria decision-making model for the selection of a hotel location," Land Use Policy, Elsevier, vol. 84(C), pages 49-58.
    10. Jaukovic Jocic, Kristina & Jocic, Goran & Darjan, Darjan & Popovic, Gabrijela & Stanujkic, Dragisa & Kazimieras Zavadskas, Edmundas & Nguyen, Phong Thanh, 2020. "A Novel Integrated PIPRECIA–Interval-Valued Triangular Fuzzy ARAS Model: E-Learning Course Selection," MPRA Paper 112009, University Library of Munich, Germany, revised 01 Jun 2020.

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    More about this item

    Keywords

    PIvot Pairwise RElative Criteria Importance Assessment; PIPRECIA; PIPRECIAE; SWARA; criteria weights; group decision-making;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory

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