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Kohout LJ, Bandler W (1979) Checklist paradigm and group transformations (Technical Note EES–MMS–ckl91.2,–1979, Dept of Electrical Eng. Science, University of Essex., UK)
Bandler W, Kohout LJ (1980) Semantics of implication operators and fuzzy relational products. Internat. J of Man-Machine Studies, 12:89–116. Reprinted in: Mamdani,E.H. and Gaines, B.R. (eds) Fuzzy Reasoning and its Applications. Academic Press, London, pp 219–246
Bandler W, Kohout LJ (1984) Unified theory of multiple-valued logical operators in the light of the checklist paradigm. In: Proc. of the 1984 IEEE Conference on Systems, Man and Cybernetics, IEEE New York, pp 356–364
Bandler W, Kohout LJ (1986) The use of checklist paradigm in inference systems. In: Negoita CV and Prade H (eds) Fuzzy Logic in Knowledge Engineering, Chap. 7, Verlag TUV Rheinland, Koln, pp 95–111
Dubois D, Prade H (1980) Fuzzy Sets and Systems: Theory and Applications. Academic Press, New York.
Inhelder B, Piaget J (1964) The Early Growth of Logic in the Child. Norton, New York.
Kohout LJ (2001) Boolean and fuzzy relations. In: Pardalos PM, Floudas CA (eds) The Encyclopedia of Optimization Vol. 1 A–D. Kluwer, Boston, pp 189–202
Kohout LJ (2001a) Checklist paradigm semantics for fuzzy logics. In: Pardalos PM, Floudas CA (eds) The Encyclopedia of Optimization Vol. 1 A–D. Kluwer, Boston, pp 23–246
Kohout LJ (2004) Theory of fuzzy generalized morphisms and relational inequalities. Internat J of General Systems, 22:339–360
Kohout LJ, Bandler W (1992) How the checklist paradigm elucidates the semantics of fuzzy inference. In: Proc. of the IEEE Internat Conf on Fuzzy Systems. IEEE, New York, 1 pp 571–578
Kohout LJ, Bandler W (1992a) Use of fuzzy relations in knowledge representation, acquisition and processing. In: Zadeh LA, Kacprzyk J (eds) Fuzzy Logic for the Management of Uncertainty. John Wiley, New York, pp 415–435
Kohout and Bandler (1993) Interval-valued systems for approximate reasoning based on the checklist paradigm. In: Wang, P (ed) Advances in Fuzzy Theory and Technology
Kohout LJ, Kim E (1997) Global characterization of fuzzy logic systems with paraconsistent and grey set features. In: Wang P (ed) Proc. 3rd Joint Conf. on InformationSciences JCIS’97 (5th Int. Conf. on FuzzyTheory and Technology, Vol. 1 Fuzzy Logic, Intelligent Control and Genetic Algorithms. Duke University, Research Triangle Park, NC, pp 238–241
Kohout LJ, Kim E (2000) Reasoning with cognitive structures of agents I: Acquisition of rules for computational theory of perceptions by fuzzy relational products. In: Da Ruan and Kerre E (eds) Fuzzy IF-THEN Rules in Computational Intelligence Chap. 8, Kluwer, Boston, pp 161–188
Kohout LJ Kim E. (2002) The role of BK products of relations in soft computing. Soft Computing, 6:89–91
Kohout LJ, Kim E (2004) Characterization of interval fuzzy logic systems of connectives by group transformations. Reliable Computing, 10:299–334
Kohout LJ, Kim E (2005) Non-commutative fuzzy interval logics with approximation semantics based on the checklist paradigm and their group transformations. In: Proc. of FUZZ–IEEE2005. IEEE Neural Network Council, Piscataway, NJ, CD-ROM.
Zadeh LA (2001) From computing with numbers to computing with words – from manipulation of measurements to manipulation of perceptions. In: Wang PP (ed) Computing with Words. John Wiley, New York, pp 35–68
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Kohout, L.J., Kim, E. (2007). On the Emergence of Fuzzy Logics from Elementary Percepts: the Checklist Paradigm and the Theory of Perceptions. In: Nikravesh, M., Kacprzyk, J., Zadeh, L.A. (eds) Forging New Frontiers: Fuzzy Pioneers I. Studies in Fuzziness and Soft Computing, vol 217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73182-5_20
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