Title :
Fuzzy Love Selection by means of Perceptual Computing
Author :
Korjani, Mohammad M. ; Mendel, Jerry M.
Author_Institution :
Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
The main contribution of this paper is to develop a Perceptual Computer for Fuzzy Love Selection problem. This is a problem of ranking all members (alternatives) in an individual list in order of preference. Uncertainty of the individual about criteria scores and weights assigned to each alternative is handled by means of Perceptual Computer. This paper also presents a comparison of two Perceptual Computer engines: linguistic weighted average and linguistic weighted power means. Results show the flexibility and range of logical inference provided by aggregation operators.
Keywords :
computational linguistics; fuzzy logic; type theory; aggregation operators; criteria scores; fuzzy love selection problem; linguistic weighted average; linguistic weighted power means; logical inference; perceptual computer engines; perceptual computing; Absorption; Computers; Decision making; Engines; Pragmatics; Uncertainty; Vocabulary; aggregation operators; computing with words; perceptual computing; type-2 fuzzy logic;
Conference_Titel :
IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
Conference_Location :
Edmonton, AB
DOI :
10.1109/IFSA-NAFIPS.2013.6608497
