Fuzzy decision by opinion score method

Abstract

Multicriteria decision making (MCDM) methods have been utilised to solve discrete problems in broad domains. Existing MCDM methods have been developed on the basis of two main contexts, namely, human and mathematical approaches. Each approach faces different challenges, such as inconsistency, time consumption in a pairwise comparison, unnatural comparison, vagueness, normalisation, distance measurement and the issue of criteria weighting in mathematical approach. To solve these challenges, this work presents fuzzy decision by opinion score method (FDOSM), which is a novel MCDM method under fuzzy environment. FDOSM consists of three stages, namely, data input, data transformation and data processing units. Two decision-making platforms, namely, single and group decision-making contexts, are performed on FDOSM. Two case studies (i.e. communication and sport) with multicriteria decision problems are applied to illustrate the significance of FDOSM. The behaviour of FDOSM works on the idea of ideal solutions and allows experts to select the best value and compare the best and other values under the same criterion. Subsequently, mathematical operations are performed to reach a final rank and select the best alternative from a set of available alternatives. In conclusion, FDOSM is debated on and compared with different MCDM methods from ranking and weighting perspectives. Results of FDOSM are more logical than those of other existing MCDM methods.