COGNITIVE-MAP-BASED DECISION-ANALYSIS BASED ON NPN LOGICS

Abstract

This paper presents a new method for cognitive-map-based decision analysis based on negative-positive-neutral (NPN) logics, where an efficient algorithm is proposed for performing interval-based inexact reasoning automatically. The algorithm performs inexact reasoning via constructing a sprouting tree. The time complexity of the proposed algorithm is O(nm), where n is the number of cognitive units in the cognitive map, m is the length of a closure path, and max(m) = 2n.