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Robot planning with fuzzy sets

Published online by Cambridge University Press:  09 March 2009

Ronald R. Yager
Affiliation:
Machine Intelligence Institute, Iona College, New Rochelle, NY 10801 (U.S.A.)

Summary

We discuss the use of fuzzy set based methodologies as a tool for helping robots develop and implement plans. We are particularly concerned with matching fuzzily described states with fuzzy antecedents in production rules.

Type
Article
Copyright
Copyright © Cambridge University Press 1983

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References

1.Nilsson, N., Principles of Artificial Intelligence (Tioga Press, Palo Alto, 1980).Google Scholar
2.Zadeh, L.A., “Fuzzy setsInformation and Control 8, 338353 (1965).CrossRefGoogle Scholar
3.Zadeh, L.A., “A theory of approximate reasoning” In Machine Intelligence 9, Hayes, J.E., Michie, D. & Mekulich, L.I. (eds.) (Ellis Horwood, Chichester, 1979) pp. 149194.Google Scholar
4.Zadeh, L. A., “PR UF – A meaning representation language for natural languagesInt J Man-Machine Systems 10, 395460, 1978.CrossRefGoogle Scholar
5.Zadeh, L.A., “Fuzzy sets as a basis for a theory of possibilityFuzzy Sets and Systems 1, 328 (1978).CrossRefGoogle Scholar
6.Dubois, D. & Prade, H., “Operations on fuzzy numbersInt J Systems Science 9, 613626 (1978).CrossRefGoogle Scholar
7.Yager, R.R., “Strong truth and rules of inference in fuzzy logic and approximate reasoning” Systems and Cybernetics (to appear).Google Scholar
8.Williams, G., “Tree searching, Part I: Basic techniquesByte Magazine 6, 72106 (1981).Google Scholar
9.Zadeh, L.A., “Fuzzy sets and information granularity,” in Advances in Fuzzy Set Theory and Applications, Gupta, M.M., Ragade, R.K. & Yager, R.R., (eds.) (North Holland, Amsterdam, 1979) pp. 318.Google Scholar
10.Dubois, D. & Prade, H., Fuzzy Sets and Systems: Theory and Applications, (Academic Press New York, 1980).Google Scholar
11.Yager, R.R., “Some questions related to linguistic variables” Tech. Report MII #201 Machine Intelligence Institute, Iona College, New Rochelle, 1982).Google Scholar
12.Yager, R.R., “Quantifiers in the formulation of multiple objective decision functions” Tech Report MII #108 (Machine Intelligence Institute, Iona College, New Rochelle, 1981).Google Scholar
13.Yager, R.R., “Some relationships between possibility, truth and certainty” Tech. Report MII #205 (Machine Intelligence Institute, Iona College, New Rochelle, 1982).Google Scholar