An alternative approach to computing with words
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Type 2 representation and reasoning for CWW
Fuzzy Sets and Systems - Special issue: Approximate Reasoning in Words
Computing with words and its relationships with fuzzistics
Information Sciences: an International Journal
Uncertainty measures for interval type-2 fuzzy sets
Information Sciences: an International Journal
Perceptual Computing: Aiding People in Making Subjective Judgments
Perceptual Computing: Aiding People in Making Subjective Judgments
Computing with Words in Information/Intelligent Systems 2: Applications
Computing with Words in Information/Intelligent Systems 2: Applications
Computing with Words: Zadeh, Turing, Popper and Occam
IEEE Computational Intelligence Magazine
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
On the retranslation process in Zadeh's paradigm of computing with words
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Aggregation operators for linguistic weighted information
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
Computing with words via Turing machines: a formal approach
IEEE Transactions on Fuzzy Systems
Fuzzy control of a benchmark problem: a computing with words approach
IEEE Transactions on Fuzzy Systems
Encoding Words Into Interval Type-2 Fuzzy Sets Using an Interval Approach
IEEE Transactions on Fuzzy Systems
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This paper traces the historical origins of perceptual computing and credits Tong and Bonissone (IEEE Trans Syst Man Cybern 10:716---723, 1980) as being the first to originate it but under a different name. It also takes the position that interval type-2 fuzzy sets, and not type-1 fuzzy sets, should be used in perceptual computing. Finally, it proposes some testable guidelines for when a solution (e.g., perceptual computing) may be branded computing with words.