A multi-criterion group decision-making method based on regret theory under 2-tuple linguistic environment

PurposeThe purpose of this paper is to develop a multi-criterion group decision-making (MCGDM) method by combining the regret theory and the Choquet integral under 2-tuple linguistic environment and apply the proposed method to deal with the supplier selection problem.Design/methodology/approachWhen making a decision, the decision-maker is more willing to choose the alternative(s) which is preferred by the experts so as to avoid the regret. At the same time, the correlative relationships among the criterion set can be sufficiently described by the fuzzy measures, later the evaluations of a group of criteria can be aggregated by means of the Choquet integral. Hence, the authors cope with the MCGDM problems by combining the regret theory and the Choquet integral, where the fuzzy measures of criteria are partly known or completely unknown and the evaluations are expressed by 2-tuples. The vertical and the horizontal regret-rejoice functions are defined at first. Then, a model aiming to determine the missing fuzzy measures is constructed. Based on which, an MCGDM method is proposed. The proposed method is applied to tackle a practical decision-making problem to verify its feasibility and the effectiveness.FindingsThe vertical and the horizontal regret-rejoice functions are defined. The relationships of the fuzzy measures are expressed by the sets. A model is built for determining the fuzzy measures. Based on which, an MCGDM method is proposed. The results show that the proposed method can solve the MCGDM problems within the context of 2-tuple, where the decision-maker avoids the regret and the criteria are correlative.Originality/valueThe paper proposes an MCGDM method by combining the regret theory and the Choquet integral, which is suitable for dealing with a variety of decision-making problems.

Animosity leads to boycott and subsequent reluctance to buy: evidence from Sino Indian disputes

Purpose The purpose of this paper is to investigate if animosity outbreaks against China result in a consumer’s reluctance to buy Chinese goods. It further studies the relationship of consumer animosity upon boycott and reluctance to buy (RTB). Design/methodology/approach A descriptive research design was applied by using the self-administered survey method for collecting data from 473 participants, mostly working graduates from the metropolitan city of Delhi in India. Thereafter, the measurement model was checked by confirming the reliability and validity of the constructs followed by checking for the strength and direction of the proposed hypothesis of the structural model (using SPSS 23 and AMOS 20) and to validate the proposed model developed based on the regret theory. Findings All the three types of animosity tend to negatively influence the buying behavior. When markets mature, consumers become concerned about their country’s civil status and boycott goods from hostile countries or places. Through this research, it is possible to find consequences of animosity on Chinese goods consumption, which is RTB. Boycott mediates the animosity relationship with RTB. The regret theory implies that individuals hold self-blame for taking an alternative decision. Domestic market players like local retailers, merchandisers, importers avoiding importing products originating from offending countries would be the managerial implications. Originality/value Consumer boycott is not unheard of in a Sino Indian context, but it lacks empirical research. This paper addresses perceived hostilities between two emerging super powers by applying the regret theory.

Application of catastrophe progression method on hybrid multiple attribute decision-making problems based on regret theory

In order to effectively solve the decision-making problems with the diversity of evaluation information, the dynamics of research objects, the limitations of subjective authorization, and the irrational behavior of decision-makers, this paper extends catastrophe progression method to solve hybrid multiple attribute decision-making problems based on regret theory. Firstly, some basic theories are introduced. Secondly, the original catastrophe progression method is extended by using the regret theory, which is employed to solve the multiple attribute decision-making problems with hybrid evaluation information. Finally, a real-life case study of selecting a fresh cold chain logistics service provider is used to verify the practicality and effectiveness of the proposed method, and a comparative analysis with the TOPSIS method and the sensitivity of the regret avoidance coefficient is analyzed in this article.

A two-sided matching decision-making approach based on regret theory under intuitionistic fuzzy environment

This study proposes a two-sided matching decision-making (TSMDM) approach by combining the regret theory under the intuitionistic fuzzy environment. At first, according to the Hamming distance of intuitionistic fuzzy sets and regret theory, superior and inferior flows are defined to describe the comparative preference of subjects. Hereafter, the satisfaction degrees are obtained by integrating the superior and inferior flows of the subjects. The comprehensive satisfaction degrees are calculated by aggregating the satisfaction degrees, based on which, a multi-objective TSMDM model is built. Furthermore, the multi-objective TSMDM model is converted to a single-objective model, the optimal solution of the latter is derived. Finally, an illustrative example and several analyses are provided to verify the feasibility and the effectiveness of the proposed approach.