Zadeh, L. A. Fuzzy sets as a basis for a theory of possibility. (English) Zbl 0377.04002 Fuzzy Sets Syst. 1, 3-28 (1978). Page: −5 −4 −3 −2 −1 ±0 +1 +2 +3 +4 +5 Show Scanned Page Cited in 22 ReviewsCited in 1536 Documents MSC: 03E72 Theory of fuzzy sets, etc. 03A05 Philosophical and critical aspects of logic and foundations 94D05 Fuzzy sets and logic (in connection with information, communication, or circuits theory) PDF BibTeX XML Cite \textit{L. A. Zadeh}, Fuzzy Sets Syst. 1, 3--28 (1978; Zbl 0377.04002) Full Text: DOI OpenURL References: [1] Gaines, B.R; Kohout, L.J, Possible automata, (), 183-196 [2] Hughes, G.E; Cresswell, M.J, An introduction to modal logic, (1968), Methuen London · Zbl 0205.00503 [3] Kaufmann, A, Valuation and probabilization, () [4] Zadeh, L.A, Calculus of fuzzy restrictions, (), 1-39 · Zbl 0327.02018 [5] Zadeh, L.A; Zadeh, L.A; Zadeh, L.A, The concept of a linguistic variable and its application to approximate reasoning, part III, Information sci., Information sci., Information sci., 9, 43-80, (1975) · Zbl 0404.68075 [6] Bellman, R.E; Zadeh, L.A; Bellman, R.E; Zadeh, L.A, Local and fuzzy logics, () · Zbl 0382.03017 [7] DeFinetti, B, Probability theory, (1974), Wiley New York [8] Fine, T, Theories of probability, (1973), Academic Press New York [9] Dempster, A, Upper and lower probabilities induced by multi-valued mapping, Ann. math. statist., 38, 325-339, (1967) · Zbl 0168.17501 [10] Shafer, G, A mathematical theory of evidence, (1976), Princeton University Press Princeton, NJ · Zbl 0359.62002 [11] Shortliffe, E.H, A model of inexact reasoning in medicine, Math. biosciences, 23, 351-379, (1975) [12] Duda, R.O; Hart, P.F; Nilsson, N.J, Subjective Bayesian methods for rule-based inference systems, Stanford research institute tech. note 124, (1976), Stanford, CA [13] Wenstop, F, Deductive verbal models of organization, Int. J. man-machine studies, 8, 293-311, (1976) · Zbl 0361.68139 [14] Zadeh, L.A, Theory of fuzzy sets, () · Zbl 0377.04002 [15] Zadeh, L.A, A fuzzy-set-theoretic interpretation of linguistic hedges, J. cybernet., 2, 4-34, (1972) [16] Lakoff, G; Lakoff, G, Hedges: a study in meaning criteria and the logic of fuzzy concepts, (), 2, 221-271, (1973), also paper presented at · Zbl 0209.30101 [17] Hersch, H.M; Caramazza, A, A fuzzy set approach to modifiers and vagueness in natural languages, (1975), Dept. of Psych., The Johns Hopkins University Baltimore, MD [18] MacVicar-Whelan, P.J, Fuzzy sets, the concept of height and the hedge very, () · Zbl 0342.68057 [19] Zadeh, L.A, Probability measures of fuzzy events, J. math. anal. appl., 23, 421-427, (1968) · Zbl 0174.49002 [20] Sugeno, M, Theory of fuzzy integrals and its applications, () · Zbl 0316.60005 [21] Terano, T; Sugeno, M, Conditional fuzzy measures and their applications, (), 151-170 · Zbl 0316.60005 [22] Nahmias, S; Nahmias, S, Fuzzy variables, () · Zbl 0383.03038 [23] Zadeh, L.A, Similarity relations and fuzzy orderings, Information sci., 3, 177-200, (1971) · Zbl 0218.02058 [24] Rödder, W, On ‘and’ and ‘or’ connectives in fuzzy set theory, () · Zbl 0939.68854 [25] () [26] Mamdani, E, Application of fuzzy logic to approximate reasoning using linguistic synthesis, (), 196-202 [27] Nalimov, V.V, Probabilistic model of language, (1974), Moscow State University Moscow · Zbl 0317.02003 [28] Goguen, J.A, Concept representation in natural and artificial languages: axioms, extensions and applications for fuzzy sets, Int. J. man-machine studies, 6, 513-561, (1974) · Zbl 0321.68055 [29] Negoita, C.V; Ralescu, D.A, Applications of fuzzy sets to systems analysis, (1975), Birkhauser Stuttgart · Zbl 0326.94002 [30] Zadeh, L.A, PRUF-A meaning representation language for natural languages, () · Zbl 0406.68063 This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.