Search

This paper proposes a group decision making model with individual preferences to investigate the multicriteria ABC inventory classification problem. We first propose a preliminary group decision matrix by means of identifying the individual preference among the classification criteria as a typical decision maker; then analyze the endogenous individual preference structure in terms of exploring the preferential difference and preferential priority, a revised group decision matrix is therefore presented; thirdly, make the use of SMAA-2 to derive the holistic acceptability index for classifying the SKUs. A satisfaction index is developed to manifest the merits of proposed method. A numerical illustration using the data drawn from previous studies is performed to indicate the applicability and feasibility of our method.

This paper proposes a composite indicator methodology to rank National Olympic Committees (NOCs) by considering only the medals won at both Summer and Winter Olympic games. The lexicographic and sum ranking systems at both Summer and Winter Olympics are comprehensively investigated to create the preliminary decision matrix for constructing composite indicators. Then we investigate the preferential difference and preferential priority for better reflecting the preference structures of the sub-indicators, and thereby obtain a revised decision matrix. The SMAA-2 is employed to implement the composite indicator construction based upon the revised decision matrix. An empirical study is performed to demonstrate the applicability of our methodology, using the data set that is composed of 28 NOCs who have participated in both the Rio 2016 Summer Olympic Games and the PyeongChang 2018 Winter Olympics. The Spearman’s rank correlation coefficient and the satisfaction index are calculated to justify the merits of the proposed methodology.

The primary purpose of this paper is to aggregate the overall rating based on guests’ online ratings by performing a social choice analysis of online hotel rating. Specifically, we first define the individual preference as the subjective judgement on the important order of the dimensions of online hotel rating, then quantify the individual preference through an analytical approach, the pessimistic and optimistic results of which are balanced by the Hurwicz criterion approach, lastly formulate the social choice result by means of the ideal-point concept. An empirical study using the real data collected from Trip.com is conducted to show the applicability and superiority of our methodology.