A NOTE TO INTERPRETABLE FUZZY MODELS AND THEIR LEARNING

[1] A. Dvorak, H. Habiballa, V. Novak and V. Pavliska, The software package LFLC 2000 | its
specicity, recent and perspective applications, Computers in Industry, 51 (2003), 269{280.
[2] A. Dvorak, M. Stepnicka and L. Stepnickova, On Redundancies in Systems of
Fuzzy/Linguistic IF-THEN Rules under Perception-based Logical Deduction Inference, Fuzzy
Sets and Systems.
[3] E. Hullermeier, Does machine learning need fuzzy logic?, Fuzzy Sets and Systems, 281 (2015),
292{299.
[4] V. Novak, Linguistically oriented fuzzy logic controller, in: Proc. of the 2nd Int. Conf. On
Fuzzy Logic and Neural Networks IIZUKA'92, Fuzzy Logic Systems Institute, Iizuka, (1992),
579{582.
[5] V. Novak, Fuzzy relation equations with words, in: M. Nikravesh, L. Zadeh, V. Korotkikh
(Eds.), Fuzzy Partial Dierential Equations and Relational Equations, Springer, Berlin,
(2004), 167{185.
[6] V. Novak, Perception-based logical deduction, in: B. Reusch (Ed.), Computational Intelligence,
Theory and Applications, Springer, Berlin, (2005), 237{250.
[7] V. Novak, Mathematical fuzzy logic in modeling of natural language semantics, in: P. Wang,
D. Ruan, E. Kerre (Eds.), Fuzzy Logic { A Spectrum of Theoretical & Practical Issues,
Elsevier, Berlin, (2007), 145{182.
[8] V. Novak, A comprehensive theory of trichotomous evaluative linguistic expressions, Fuzzy
Sets and Systems, 159 (22) (2008), 2939{2969.
[9] V. Novak, On modelling with words, Int. J. of General Systems, 42 (2013), 21{40.

[10] V. Novak, Evaluative linguistic expressions vs. fuzzy categories?, Fuzzy Sets and Systems,
281 (2015), 81{87.
[11] V. Novak, Fuzzy Natural Logic: Towards Mathematical Logic of Human Reasoning, in:
E. Seising, R.and Trillas, J. Kacprzyk (Eds.), Fuzzy Logic: Towards the Future, Springer,
(2015), 137{165.
[12] V. Novak, Linguistic characterization of time series, Fuzzy Sets and Systems, 285 (2016),
52{72.
[13] V. Novak and J. Kova, Linguistic IF-THEN rules in large scale application of fuzzy control,
in: R. Da, E. Kerre (Eds.), Fuzzy If-Then Rules in Computational Intelligence: Theory and
Applications, Kluwer Academic Publishers, Boston, (2000), 223{241.
[14] V. Novak and S. Lehmke, Logical structure of fuzzy IF-THEN rules, Fuzzy Sets and Systems,
157 (2006), 2003{2029.
[15] V. Novak, V. Pavliska and Valasek, Specialized software for fuzzy natural logic and fuzzy
transform applications, in: Proc. Int. Conference FUZZ-IEEE'2014, Beijing, China, (2014),
2337{2344.
[16] V. Novak, V. Pavliska, M. Stepnicka and L. Stepnickova, Time series trend extraction and
its linguistic evaluation using F-transform and fuzzy natural logic, in: L. Zadeh, A. Abbasov,
R. Yager, S. Shahbazova (Eds.), Recent Developments and New Directions in Soft Computing,
Springer, Berlin, (2014), 429{442.
[17] V. Novak and I. Perlieva, Smooth fuzzy logic deduction with words, in: Proc. Int. Conf.
Fuzzy Information Processing: Theories and Applications, Vol. II, Tsinghua University
Press/Springer, Beijing, (2003), 599{604.
[18] V. Novak and I. Perlieva, On the semantics of perception-based fuzzy logic deduction, International
Journal of Intelligent Systems, 19 (2004), 1007{1031.
[19] V. Novak, I. Perlieva and A. Dvorak, Insight into Fuzzy Modeling, Wiley & Sons, Hoboken,
New Jersey, 2016.
[20] V. Novak, I. Perlieva and N. G. Jarushkina, A general methodology for managerial decision
making using intelligent techniques, in: E. Rakus-Anderson, R. Yager, N. Ichalkaranje, L. Jain
(Eds.), Recent Advances in Fuzzy Decision-Making, Springer, Heidelberg, (2009), 103{120.
[21] V. Novak, I. Perlieva, A. Romanov and N. Yarushkina, Time series grouping and trend
forecast using F1-transform and fuzzy natural logic, in: R. Marco se Moraes, E. E. Kerre,
L. dos Santos Machado, J. Lu (Eds.), Decision Making and Soft Computing, World Scientic,
(2014), 143{148.
[22] I. Perlieva, Fuzzy transforms: theory and applications, Fuzzy Sets and Systems, 157 (2006),
993{1023.
[23] L. Zadeh, Toward a logic of perceptions based on fuzzy logic, in: V. Novak, I. Perlieva
(Eds.), Discovering the World With Fuzzy Logic, Studies in Fuzziness and Soft Computing,
Springer-Verlag, Heidelberg, (2000), 4{28.
[24] L. A. Zadeh, A rationale for fuzzy control, Trans. ASME, Ser. G, J. Dynamic. Systems,
Measurement and Control, 94 (1972), 3{4.
[25] L. A. Zadeh, Outline of a new approach to the analysis of complex systems and decision
processes, IEEE Trans. on Systems, Man, and Cybernetics SMC-3, (1973), 28{44.
[26] L. A. Zadeh, Quantitative fuzzy semantics, Information Sciences, 3 (1973), 159{176.
[27] L. A. Zadeh, The concept of a linguistic variable and its application to approximate reasoning
I, II, III, Information Sciences, 8-9 (1975), 199{257, 301{357, 43{80.
[28] L. A. Zadeh, Fuzzy logic = computing with words, IEEE Trans. Fuzzy Systems, 4 (1996),
103-111.
[29] L. A. Zadeh, From computing with numbers to computing with words & from manipulation
of measurements to manipulation of perceptions, Int. J. of Applied Math and Comp. Sci., 12
(2002), 307{324.
[30] L. A. Zadeh, Precisiated natural language, AI Magazine, 25 (2004), 74{91.