Reasoning With Linguistic Preferences Using NPN Logic
Computer Science and Information Systems, Tome 7 (2010) no. 3.

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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.
Keywords: Fuzzy Cognitive Maps; Negative-Positive-Neutral Logic; Linguistic Preferences; Decision Analysis
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     author = {Goran Deved\v{z}i\'c and Danijela Milo\v{s}evi\'c and Lozica Ivanovi\'c and Dragan Adamovi\'c and Miodrag Mani\'cad},
     title = {Reasoning {With} {Linguistic} {Preferences} {Using} {NPN} {Logic}},
     journal = {Computer Science and Information Systems},
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     volume = {7},
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     year = {2010},
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Goran Devedžić; Danijela Milošević; Lozica Ivanović; Dragan Adamović; Miodrag Manićad. Reasoning With Linguistic Preferences Using NPN Logic. Computer Science and Information Systems, Tome 7 (2010) no. 3. http://geodesic.mathdoc.fr/item/CSIS_2010_7_3_a7/