Two-layer preference models with methodologies using induced aggregation in management administration and decision making

Article type: Research Article

Authors: Zhu, Cheng^a | Mesiar, Radko^b | Yager, Ronald R.^c | Merigo, Jose^d | Qin, Jindong^e | Feng, Xiangqian^f | Jin, Lesheng^{f; *}

Affiliations: [a] School of Mathematics, Nanjing Normal University, Nanjing, China | [b] Faculty of Civil Engineering, Slovak University of Technology, Radlinského 11, Bratislava, Slovakia | [c] Machine Intelligence Institute, Iona College, New Rochelle, New York, USA | [d] Department of Management Control and Information Systems, University of Chile, Santiago, Chile | [e] School of Management, Wuhan University of Technology, Wuhan, China | [f] Business School, Nanjing Normal University, Nanjing, China

Correspondence: [*] Corresponding author. Lesheng Jin, Business School, Nanjing Normal University, Nanjing, China. Tel.: +86 15205176731; Fax: +86 xxxxxx; E-mail: [email protected].

Abstract: In this work, we propose some two-layer preference models that can be appropriately applied in management problems such as the group decision making about predicting the future market share of certain product. By introducing the convex IOWA operator paradigm and some related properties and definitions, we list some detailed preference and inducing preference models to demonstrate and exemplify the proposed conceptual frame of two-layer preference model. The convex IOWA operator paradigm facilitates the modeling process and, from mathematical view, makes it stricter. When relevant inducing information and aggregation selection change, the proposed models can be easily adapted to accommodate more different applications in decision making and evaluation.

Keywords: Aggregation operators, decision making, induced aggregation, ordered weighted averaging operators, orness/andness, preference model

DOI: 10.3233/JIFS-182671

Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 1213-1221, 2019