Information Technology Reference
In-Depth Information
69. Blishun, A.F.: Simulation of decision-making process in fuzzy conditions on the ba-
sis of similarity of concepts of classes. Synopsis of a thesis. Cand. Sci. Phys. and
Mathem., 19 p. VTs of AS of the USSR, Moscow (1982)
70. Saaty, T.L.: Measuring the fuzziness of sets. Journal of Cybernetics 4, 53-61 (1974)
71. Kikvidze, Z.A., Tkemaladze, N.T.: About one mode of weighing of elements of
fuzzy set. Reports of AS of the USSR 93(2), 317-320 (1979)
72. Sher, A.P.: Coordination of fuzzy expert evaluations and membership function in a
method of diffusion sets. In: Simulation and research of automatic control systems,
pp. 111-118. DVNTs of AS of the USSR, Vladivostok (1978)
73. Ezhkova, I.V.: Semantically invariant formalisation of linguistic evaluations. In:
Semiotics aspects of formalisation of intellectual activity, pp. 48-51. MDNTP,
Moscow (1983)
74. Ezhkova, I.V., Pospelov, L.A.: Decision making at the fuzzy founda-tions. Bulletins
of AS of the USSR: Engineering cybernetics 6, 3-11 (1977)
75. Svarovskiy, S.G.: Approximation of membership functions of values of a lin-guistic
ν ariable. In: Mathematical problems of the data analysis, pp. 127-131. NETI, No-
vosibirsk (1980)
76. Hodashinsky, I.A.: Logics of value evaluations. In: VINITI, Tomsk, vol. 1631-84, 19
p (1984)
77. Skofenko, A.V.: About building of membership functions of the fuzzy sets corre-
sponding to quantitative expert evaluations. In: Research on research and computer
science, vol. 22, pp. 70-79. Naukova dumka, Kiev (1981)
78. Borisov, A.N., Fomin, S.: The axiomatic approach to restore of membership function
of terms of a linguistic ν ariable. In: Model of a choice of alternatives in an fuzzy me-
dium, pp. 77-79. RPI, Riga (1980)
79. Averkin, A.N.: Building of fuzzy models of the world for planning in the conditions
of uncertainty. In: Semiotics models in control of big systems, pp. 69-73. AS of the
USSR, Moscow (1979)
80. Zadeh, L.A.: A theory of approximate reasoning (AR). Machine Intelligence 9,
149-194 (1979)
81. Zadeh, L.A.: Fuzzy logic and approximate reasoning. Synthese 80, 407-428 (1975)
82. Kruglov, V.V., Dli, M.I., Yu, G.R.: The fuzzy logic and artificial neural webs, 224 p.
Fizmatli, Moscow (2001)
83. Zadeh, L.A.: A basis of the new approach to the analysis of complex systems and de-
cision-making processes. In: Moiseyev, N.N. (ed.) Mathematics today, pp. 5-48.
Znanie, Moscow (1974)
84. Chang, Y.-H.: Hybrid fuzzy least-squares regression analysis and its reliability meas-
ures. Fuzzy Sets and Systems 119, 225-246 (2001)
85. Shkondin, A.I.: A fuzzy conclusion on the basis of definiteness modifiers. Bulletins
of Academy of Sciences. The Theory of Control and Control Systems 1, 136-142
(2001)
86. Nasibov, E.N.: About two average characteristics of fuzzy numbers. VINITI 91(772),
24 (1991)
87. Nasibov, E.N.: Some integral indexes of fuzzy numbers and visual interactive
method of definition of strategy of their evaluation. Bulletins of Academy of sci-
ences. The Theory of Control and Control Systems 4, 82-88 (2002)
88. Sher, A.P.: Solution of a problem of mathematical programming with linear function
in diffusion restrictions. Automation and Telemechanics 7, 17-22 (1980)
89. Llena, J.: On fuzzy linear programming. EJOR 22(2), 124-131 (1985)
Search WWH ::




Custom Search