Title :
Similarity-based perceptual reasoning for perceptual computing
Author :
Wu, Dongrui ; Mendel, Jerry M.
Author_Institution :
Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
Perceptual reasoning (PR) is an approximate reasoning method that can be used as a computing with words (CWW) engine in perceptual computing. There can be different approaches to implement PR, e.g., PR using firing intervals is proposed in [8], [9], [16], and similarity-based PR is proposed in this paper. Both approaches satisfy the constraint on a CWW engine, i.e., the result of combining fired rules should lead to a footprint of uncertainty (FOU) that resembles the three kinds of FOUs in a CWW codebook. A comparative study shows that the output FOUs from similarity-based PR more closely resemble the three kinds of FOUs in a codebook, and the resulting linguistic descriptions are more intuitive; so, similarity-based PR is a better choice for a CWW engine.
Keywords :
computational linguistics; uncertainty handling; approximate reasoning method; computing-with-word codebook; firing interval; footprint-of-uncertainty; linguistic description; perceptual computing; similarity-based perceptual reasoning; Computational modeling; Concrete; Engines; Frequency selective surfaces; Fuzzy logic; Fuzzy sets; Image processing; Knowledge based systems; Signal processing; Uncertainty; Computing with words; interval type-2 fuzzy sets; perceptual computing; perceptual reasoning; rule-based systems; similarity;
Conference_Titel :
Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4244-3596-8
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2009.5277374
