Integration of interval Type-2 fuzzy sets and analytic hierarchy process: Implication to computational procedures

Abstract

A new types of spline modeling using fuzzy linguistic approach AIP Conference Proceedings 1750, 020020 (2016) Abstract. The fuzzy set theory has been developed tremendously since 1965 from a typical notation of single membership of fuzzy sets to the recent footprint of uncertainty of interval type-2 fuzzy sets. It has been successfully integrated with many multi-criteria decision making (MCDM) methods, including analytic hierarchy process (AHP). It seems that fuzzy sets are well-fitted with AHP thereby innovates a version of interval type-2 fuzzy AHP. However, the effect of this integration toward computational procedures of AHP is rarely investigated. This paper describes the integration and investigates its implication to the computational procedures. A numerical example is presented to illustrate the implication.

Comparison of Cash Crop Suitability Assessment Using Parametric, AHP, and FAHP Methods

“…The FAO has created a framework for land suitability. The principle that underlies this framework is the ability of physical environments, such as climate, relief, soil, hydrology, and Table 1 provides the linguistic variable matching triangular fuzzy numbers [39,[43][44][45], trapezoidal fuzzy numbers [46][47][48], and the corresponding membership functions in.…”