Uncertainty induced and preference involved aggregation in relative basic uncertain information decision environment

Article type: Research Article

Authors: Ma, Chao^{a; b} | Yager, Ronald R.^c | Liu, Jing^{a; b; *} | Yatsalo, Boris^d | Garg, Harish^e | Senapati, Tapan^f | Jin, LeSheng^{b; g; *}

Affiliations: [a] Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle, Hubei University of Arts and Science, Xiangyang, China | [b] School of Automobile and Traffic Engineering, Hubei University of Arts and Sciences, Xiangyang, China | [c] Machine Intelligence Institute, Iona College, New Rochelle, NY, USA | [d] A Ukrainian scholar who is currently with Foundation Progress and Business, Krakow, Poland | [e] School of Mathematics Thapar Institute of Engineering & Technology (Deemed University), Patiala, Punjab, India | [f] Department of Mathematics, Padima Janakalyan Banipith, Kukrakhupi, Jhargram, India | [g] Business School, Nanjing Normal University, Nanjing, China

Correspondence: [*] Corresponding author. Jing Liu, Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle, Hubei University of Arts and Science, Xiangyang, 441053, China; School of Automobile and Traffic Engineering, Hubei University of Arts and Sciences, Xiangyang, 441053, China. E-mail: [email protected] and LeSheng Jin, School of Automobile and Traffic Engineering, Hubei University of Arts and Sciences, Xiangyang, 441053, China; Business School, Nanjing Normal University, Nanjing, China. E-mail: [email protected].

Abstract: Uncertainty exists in numerous evaluation and decision making problems and therefore it also provides space for the subjective preferences of decision makers to affect the aggregation and evaluation results. Recently, relative basic uncertain information is proposed to further generalize basic uncertain information, but currently there is no research on how to apply this type of uncertainty in both theory and practices. There is also a paucity of decision methodology about how to build systematic preference involved decision model considering this new type of uncertainty. The relative basic uncertain information can serve as a general frame to enable the possibility for simultaneously handling heterogeneous uncertain information including interval information, basic uncertain information, and relative basic uncertain information. Different types of bipolar subjective preferences commonly should be taken into consideration in practical decision making. With the individual heterogeneous uncertain information and the involved two types of subjective preferences, namely bipolar preferences for uncertainties and bipolar optimism-pessimism preferences, the evaluation and decision making become more complex. This work proposes a systematic intersubjective decision model which can effectively and reasonably deal with the decision scenario with such complex uncertainty, in which Yager preference induced weights allocation is applied. Some novel preference conversion and transformation functions, specified techniques, and the related decision making procedures and sub-modules are proposed and analyzed. An application is also presented to showthe practicality of the proposed decision models and related conversion and transformation functions.

Keywords: Basic uncertain information, decision making, information fusion, relative basic uncertain information, uncertain decision making, Yager induced weights allocation

DOI: 10.3233/JIFS-231395

Journal: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 6, pp. 11535-11547, 2023