تعداد نشریات | 26 |
تعداد شمارهها | 550 |
تعداد مقالات | 5,698 |
تعداد مشاهده مقاله | 7,964,244 |
تعداد دریافت فایل اصل مقاله | 5,347,823 |
A NOTE TO INTERPRETABLE FUZZY MODELS AND THEIR LEARNING | ||
Iranian Journal of Fuzzy Systems | ||
مقاله 5، دوره 13، شماره 7، زمستان 2016، صفحه 53-65 اصل مقاله (352.08 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22111/ijfs.2016.2943 | ||
نویسنده | ||
Vilem Novak* | ||
University of Ostrava, Institute for Research and Applications of Fuzzy Modeling, NSC IT4Innovations, 30. dubna 22, 701 03 Ostrava 1, Czech Republic | ||
چکیده | ||
In this paper we turn the attention to a well developed theory of fuzzy/lin\-guis\-tic models that are interpretable and, moreover, can be learned from the data. We present four different situations demonstrating both interpretability as well as learning abilities of these models. | ||
کلیدواژهها | ||
Fuzzy Natural Logic؛ Perception-based logical deduction؛ Learning. } newlineindent{footnotesize {The paper has been supported by the project IT4I XS (LQ1602) | ||
مراجع | ||
[1] A. Dvorak, H. Habiballa, V. Novak and V. Pavliska, The software package LFLC 2000 | its specicity, 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. Perlieva, 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. Perlieva, On the semantics of perception-based fuzzy logic deduction, International Journal of Intelligent Systems, 19 (2004), 1007{1031. [19] V. Novak, I. Perlieva and A. Dvorak, Insight into Fuzzy Modeling, Wiley & Sons, Hoboken, New Jersey, 2016. [20] V. Novak, I. Perlieva 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. Perlieva, 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 Scientic, (2014), 143{148. [22] I. Perlieva, 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. Perlieva (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. | ||
آمار تعداد مشاهده مقاله: 688 تعداد دریافت فایل اصل مقاله: 780 |