A bipolar consensus approach for group decision making problems

Abstract

a b s t r a c tThis paper addresses the collaborative group decision making problems considering a consensus processes to achieve a common legitimate solution. The proposed resolution model is based on individual bipolar assessment. Each decision maker evaluates alternatives through selectability and rejectability measures which respectively represent the positive and negative aspects of alternatives considering objectives achievement. The impact of human behavior (influence, individualism, fear, caution, etc.) on decisional capacity has been taken into account. The influence degrees exerted mutually by decision makers are modeled through concordance and discordance measures. The individualistic nature of decision makers has been taken into account from the individualism degree. In order to achieve a common solution(s), models of consensus building are proposed based on the satisficing game theory formalism for collective decision problems. An application example is given to illustrate the proposed concepts.

Multi-criteria decision analysis for supporting the selection of medical devices under uncertainty

“…In the current paper, BOCR (benefits, opportunities, costs and risks) analysis was used in combination with pairwise comparisons (Bouzarour-Amokrane, Tchangani, & Peres, 2015;Wijnmalen, 2007). The difference from the typical use of these analyses is that the model was reduced.…”

A Novel Hybrid Fuzzy Grey TOPSIS Method: Supplier Evaluation of a Collaborative Manufacturing Enterprise

“…Academically, many studies have been conducted on MCDM problems, and substantial progress has been made in this field. For example, Bouzarour-Amokrane et al formulated a consensus bipolar method to solve the collaborative group MCDM problems considering the impact of human behavior, e.g., individualism, fear, caution [42]. The analysis results of the application example about real size wind farm implantation problem showed that this proposed method can be a useful decision-making tool to solve this problem [42].…”

Aplicación del proceso de jerarquía analítica (AHP) para la toma de decisión con juicios de expertos

“…Podemos mencionar casos de ejemplo en el sector productivo o dentro de la gestión de la cadena de suministro, en la selección de diversas estrategias [2][3][4][5][6], o hasta implementaciones en la solución a problemáticas sociales relacionadas con la salud, medio ambiente o políticas de responsabilidad social [7][8][9][10][11]. Otros autores han propuesto esquemas de consenso para juicios de expertos, que en su mayoría trabajan en sinergia con el Proceso de análisis jerárquico (AHP), así como la lógica difusa o el método TOPSIS [12][13][14][15][16][17][18], o bien con otras metodologías más particulares [19][20][21][22][23]. Del mismo modo, estudios anteriores de este tipo se enfocan en trabajos de investigación de revisión de literatura que giran en torno a estos modelos [24][25][26][27].…”