Notes on procedure for the development of fuzzy rules in SCOP methodology

Abstract

The lack of statistical foundations among other shortcomings of existing methods of measuring efficiency necessitated the development of a new method called, Systems Coefficient of Performance Methodology (SCOPM). One key feature of SCOP methodology is the use of fuzzy logic to express complex efficiency measurement parameters into linguistic variables understandable by non experts and the general public. In this research note, the procedure for development of membership functions for the fuzzy logic aspect of SCOPM modeling was standardized and presented. A thorough analysis of fuzzy logic modeling which is at the heart of SCOPM was done. Real life examples and case studies are used to highlight the practical applications and utility of the methodology. The study gives a deep insight into the strengths of SCOP as an efficiency measurement method and its superiority over other efficiency measurement methods like, Data Envelopment Analysis (DEA), Stochastic Frontier Analysis (SFA), etc. Finally, a guide to practitioners on implementation of SCOPM as well as future research direction for academics and researchers is presented.