Multiple Criteria Group Decision Making Using a Parametric Linear Programming Technique for Multidimensional Analysis of Preference under Uncertainty of Pythagorean Fuzziness

Ting Yu Chen*

*此作品的通信作者

研究成果: 期刊稿件文章同行評審

11 引文 斯高帕斯(Scopus)

摘要

This paper aims to utilize the core structure of linear programming technique for multidimensional analysis of preference (LINMAP) to propose a parametric LINMAP methodology for addressing multiple criteria group decision-making problems based on Pythagorean fuzzy sets. To compare Pythagorean membership grades, this paper presents a Hamming distance-based approach for identifying closeness-based order relations based on Pythagorean fuzzy closeness indices. The concept of comprehensive closeness measures is introduced to measure individual order consistency and inconsistency between subjective preference relations and objective order relations. In the spirit of LINMAP, this paper determines individual goodness of fit and poorness of fit and further constructs a novel parametric LINMAP model. The applicability of the developed approach is explored by a practical application of railway project investment. Some comparative analyses are conducted to demonstrate the usefulness and advantages of the proposed methodology.

原文英語
文章編號8918397
頁(從 - 到)174108-174128
頁數21
期刊IEEE Access
7
DOIs
出版狀態已出版 - 2019

文獻附註

Publisher Copyright:
© 2013 IEEE.

指紋

深入研究「Multiple Criteria Group Decision Making Using a Parametric Linear Programming Technique for Multidimensional Analysis of Preference under Uncertainty of Pythagorean Fuzziness」主題。共同形成了獨特的指紋。

引用此