Goran Devedžić¹, Danijela Milošević², Lozica Ivanović¹, Dragan Adamović¹ and Miodrag Manićad³

¹ University of Kragujevac, Faculty of Mechanical Engineering,
Sestre Janjic 6, 34000 Kragujevac, Serbia
{devedzic, lozica, adam}@kg.ac.rs
² University of Kragujevac, Technical Faculty at Čačak,
Svetog Save 65, 32000 Čačak, Serbia
danijela@tfc.kg.ac.rs
³ University of Niš, Faculty of Mechanical Engineering,
Aleksandra Medvedeva 14, 18000 Niš, Serbia
mmanic@masfak.ni.ac.yu  

Abstract. 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.