Integrating Fuzzy Kano and Fuzzy TOPSIS for Classification of Functional Requirements in National Standardization System

Standardization of information is regarded as one of the three main approaches of supply chains and one of the effective strategies in integrating of their components. One of the most effective standardization systems is utilizing product coding at the national level which creates an appropriate framework for the integrated management of information in the chains. The identification and fulfillment of the customers’ needs (CNs) with the functional requirements (FRs) of this system would satisfy the customers. However, considering the limitation of resources, an appropriate ranking and selection of FRs is of vital importance. In this paper, a new procedure is presented by utilizing fuzzy TOPSIS and fuzzy KANO techniques aiming at two issues: (i) identifying and classifying CNs, and (ii) ranking and categorizing the FRs. By giving priority to the FRs that increases the beneficiaries’ satisfaction, investment will be more efficient. In order to validate and verify the credibility of the proposed procedure, a case in the commodity and service standardization system of Iran, known as “Iran Code” was employed. The outcomes include ranking and categorizing the present FRs of the system according to the satisfaction, extent and having the more favorable accuracy compared to the existing methods.