A neural network approach to modeling fuzzy preference relations for multiple criteria decision making

Keeney, 1976 Chankong, 1983 Zimmermann, 1987 Bellman, 1970, Decision making in a fuzzy environment, Mgmt Sci., 17B, 141, 10.1287/mnsc.17.4.B141 Baas, 1977, Rating and ranking of multiple-aspect alternatives using fuzzy sets, Automatica, 13, 47, 10.1016/0005-1098(77)90008-5 Zimmermann, 1978, Fuzzy programming and linear programming with several objective functins, Fuzzy Sets Systems, 1, 45, 10.1016/0165-0114(78)90031-3 Zimmermann, 1983, Fuzzy mathematical programming, Computers Ops Res., 10, 291, 10.1016/0305-0548(83)90004-7 Yang, 1991, Fuzzy programming with nonlinear membership functions: piecewise linear approximation, Fuzzy Sets Systems, 41, 39, 10.1016/0165-0114(91)90156-K Yager, 1978, Fuzzy decision making including unequal objectives, Fuzzy Sets Systems, 1, 87, 10.1016/0165-0114(78)90010-6 Efstathious, 1979, Multiattribute decisionmaking using a fuzzy heuristic approach, IEEE Trans. Systems, Man, Cybernetics, 6, 326, 10.1109/TSMC.1979.4310221 Hannan, 1981, On fuzzy goal programming, Decis. Sci., 522, 10.1111/j.1540-5915.1981.tb00102.x Martel, 1986, A fuzzy outranking relation in multicriteria decision making, Europ. J. Opl Res., 25, 258, 10.1016/0377-2217(86)90090-1 Chanas, 1987, A fuzzy preference relation in the vector maximum problem, Europ. J. Opl Res., 28, 351, 10.1016/S0377-2217(87)80178-9 Zhukovin, 1987, A decision making model with vector fuzzy preference relation, Fuzzy Sets Systems, 22, 71, 10.1016/0165-0114(87)90007-8 Rumelhart, 1986, Learning internal representations by error propagation, 318 Funahashi, 1989, On the approximate realization of continuous mappings by neural networks, Neural Networks, 2, 183, 10.1016/0893-6080(89)90003-8 Hornik, 1989, Multilayer feedforward networks are universal approximators, Neural Networks, 2, 359, 10.1016/0893-6080(89)90020-8 Zurada, 1992 Wang, 1994, Analysis and synthesis of artificial neural networks for modeling complex systems, 2, 163 Wang, 1990 Wang, 1992, A feedforward neural network for multiple criteria decision making, Computers Ops Res., 19, 151, 10.1016/0305-0548(92)90089-N Wang, 1994, Artificial neural networks versus natural networks: a connectionist paradigm for preference assessment, Decis. Support Systems, 11 Wang, 1993, Multiple-objective optimization of machining operations based on neural networks, Int. J. Adv. Manufacturing Technol., 6, 235, 10.1007/BF01748633 Civanlar, 1986, Constructing membership functions using statistical data, Fuzzy Sets Systems, 18, 1, 10.1016/0165-0114(86)90024-2 Norwich, 1982, The construction of membership functions, 61 Turksen, 1991, Measurement of membership functions and their acquisition, Fuzzy Sets Systems, 40, 5, 10.1016/0165-0114(91)90045-R Takagi, 1991, Neural-network driven fuzzy reasoning, Int. J. Approximate Reasoning, 5, 191, 10.1016/0888-613X(91)90008-A Keller, 1992, Implementation of conjunctive and disjunctive fuzzy logic rules with neural networks, Int. J. Approximate Reasoning, 6, 221, 10.1016/0888-613X(92)90018-U Hayasashi, 1992, Construction of fuzzy inference rules by NDF and NDFL, Int. J. Approximate Reasoning, 6, 241, 10.1016/0888-613X(92)90019-V Wang, 1993, Characterization of training errors in supervised learning using gradient-based learning rules, Neural Networks, 6, 1073, 10.1016/S0893-6080(09)80019-1 Ash, 1989, Dynamic code creation in backpropagation networks, Connection Sci., 1, 365, 10.1080/09540098908915647 Blum, 1989, Approximation of boolean functions by sigmoidal networks: Part I: XOR and other two-variable functions, Neural Computation, 1, 532, 10.1162/neco.1989.1.4.532 Brady, 1989, Back propagation fails to separate where perceptions succeed, IEEE Trans. Circuits Systems, 36, 665, 10.1109/31.31314 Sontag, 1989, Backpropagation can give rise to spurious local minima even for networks without hidden layers, Complex Systems, 3, 91 Gori, 1992, On the local minima in backpropagation, IEEE Trans. Pattern Anal. Machine Intelligence, 14, 76, 10.1109/34.107014 Wang, 1993, A neural network approach to multiple-objective cutting parameter optimization based on fuzzy preference information, Computers Indust. Engng, 25, 389, 10.1016/0360-8352(93)90303-F