The Decision-Making Approach Based on the Combination of Entropy and Rov Methods for the Apple Selection Problem

Abstract

Apple juice concentrate is the second consumed fruit juice all around the world, behind the orange juice concentrate. The characteristics of the apple juice concentrate namely the acidity level and the sweetness of the processed product vary depending on the variety of the apple. So the selection of the most appropriate apple among the alternatives in the fresh market is not easy task for food companies. This selection may be handled as Multi Criteria Decision Making (MCDM) problem. This paper presents the new decision making approach based on two MCDM methods, Entropy and ROV (Range of Value), for the apple selection problem of a food company that produces apple juice concentrate. Entropy method determines the weights of the criteria whereas ROV method ranks the alternatives. The invention of this paper is Entropy and ROV are combined firstly in the literature.