Hostname: page-component-7dd5485656-zlgnt Total loading time: 0 Render date: 2025-10-31T17:47:53.622Z Has data issue: false hasContentIssue false
  • English
  • Français

Robot planning with fuzzy sets

Published online by Cambridge University Press:  09 March 2009

Ronald R. Yager
Ronald R. Yager
Affiliation:
Machine Intelligence Institute, Iona College, New Rochelle, NY 10801 (U.S.A.)
Get access Rights & Permissions [Opens in a new window]

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.

Information

Type
Article
Information
Robotica , Volume 1 , Issue 1 , January 1983 , pp. 41 - 50
Copyright
Copyright © Cambridge University Press 1983

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

1.Nilsson, N., Principles of Artificial Intelligence (Tioga Press, Palo Alto, 1980).Google Scholar
2.Zadeh, L.A., “Fuzzy sets” Information and Control 8, 338–353 (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. 149–194.Google Scholar
4.Zadeh, L. A., “PR UF – A meaning representation language for natural languages” Int J Man-Machine Systems 10, 395–460, 1978.CrossRefGoogle Scholar
5.Zadeh, L.A., “Fuzzy sets as a basis for a theory of possibility” Fuzzy Sets and Systems 1, 3–28 (1978).CrossRefGoogle Scholar
6.Dubois, D. & Prade, H., “Operations on fuzzy numbers” Int J Systems Science 9, 613–626 (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 techniques” Byte Magazine 6, 72–106 (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. 3–18.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