The Use Of The Pivot Pairwise Relative Criteria Importance Assessment Method For Determining The Weights Of Criteria
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- 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).
- Arunodaya Raj Mishra & Pratibha Rani & Dragan Pamucar & Abhijit Saha, 2024. "An integrated Pythagorean fuzzy fairly operator-based MARCOS method for solving the sustainable circular supplier selection problem," Annals of Operations Research, Springer, vol. 342(1), pages 523-564, November.
- 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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