Reasoning With Linguistic Preferences Using NPN Logic

Computer Science and Information Systems

Goran Devedžić¹  Danijela MiloÅ¡ević²  Lozica Ivanović³ 

[1] University of Kragujevac, Faculty of Mechanical Engineering;University of Kragujevac, Technical Faculty at Čačak;University of NiÅ¡, Faculty of Mechanical Engineering

关键词: Fuzzy Cognitive Maps;    Negative-Positive-Neutral Logic;    LinguisticPreferences;    Decision Analysis;   

DOI  :  10.2298/CSIS090223003D

学科分类：社会科学、人文和艺术（综合）

来源: Computer Science and Information Systems

【 摘 要 】

Negative-positive-neutral logic provides an alternative framework for fuzzy cognitive maps development and decision analysis. This paper reviews basic notion of NPN logic and NPN relations and proposes adaptive approach to causality weights assessment. It employs linguistic models of causality weights activated by measurement-based fuzzy cognitive maps’ concepts values. These models allow for quasi-dynamical adaptation to the change of concepts values, providing deeper understanding of possible side effects. Since in the real-world environments almost every decision has its consequences, presenting very valuable portion of information upon which we also make our decisions, the knowledge about the side effects enables more reliable decision analysis and directs actions of decision maker.

【 授权许可】

CC BY-NC-ND