Emotion Detection using Fuzzy Logic

[1]  D. Grant Fisher,et al.  Solution algorithms for fuzzy relational equations with max-product composition , 1998, Fuzzy Sets Syst..

[2]  F. Herrera,et al.  A proposal on reasoning methods in fuzzy rule-based classification systems , 1999 .

[3]  H. Zimmermann,et al.  Fuzzy Set Theory and Its Applications , 1993 .

[4]  A. Bhavsar,et al.  Facial Expression Recognition Using Neural Classifier and Fuzzy Mapping , 2005, 2005 Annual IEEE India Conference - Indicon.

[5]  Shun'ichi Tano,et al.  The inverse Problem of the Aggregation of fuzzy Sets , 1994, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[6]  Christine L. Lisetti,et al.  Facial Expression Recognition Using a Neural Network , 1998, FLAIRS.

[7]  Edward A. Bender,et al.  Mathematical methods in artificial intelligence , 1996 .

[8]  E. Mizutani,et al.  Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review] , 1997, IEEE Transactions on Automatic Control.

[9]  Md. Zia Uddin,et al.  Independent shape component-based human activity recognition via Hidden Markov Model , 2010, Applied Intelligence.

[10]  Amit Konar,et al.  A heuristic algorithm for computing the max-min inverse fuzzy relation , 2002, Int. J. Approx. Reason..

[11]  L. Zadeh.  The role of fuzzy logic in the management of uncertainty in expert systems , 1983 .

[12]  Chuan-Yu Chang,et al.  Automatic Facial Skin Defect Detection System , 2010, 2010 International Conference on Broadband, Wireless Computing, Communication and Applications.

[13]  Irina Perfilieva,et al.  COMPATIBILITY OF SYSTEMS OF FUZZY RELATION EQUATIONS , 2000 .

[14]  W. Pedrycz.  Fuzzy relational equations with generalized connectives and their applications , 1983 .

[15]  George J. Klir,et al.  Fuzzy sets and fuzzy logic - theory and applications , 1995 .

[16]  Chee Peng Lim,et al.  An Introduction to Computational Intelligence Paradigms , 2008, Computational Intelligence Paradigms.

[17]  E. Sanchez.  Solution of fuzzy equations with extended operations , 1984 .

[18]  Józef Drewniak,et al.  Fuzzy relation equations and inequalities , 1984 .

[19]  G. Klir,et al.  Resolution of finite fuzzy relation equations , 1984 .

[20]  Siegfried Gottwald,et al.  Generalized solvability criteria for fuzzy equations , 1985 .

[21]  W Pedrycz,et al.  Solvability of fuzzy relational equations and manipulation of fuzzy data , 1986 .

[22]  Peter Jackson,et al.  Introduction to expert systems , 1986 .

[23]  Costas P. Pappis.  Multi-input multi-output fuzzy systems and the Inverse Problem , 1987 .

[24]  Wen-June Wang,et al.  Matrix-pattern-based computer algorithm for solving fuzzy relation equations , 2003, IEEE Trans. Fuzzy Syst..

[25]  Jianmiao Cen.  Fuzzy matrix partial orderings and generalized inverses , 1999, Fuzzy Sets Syst..

[26]  Masaki Togai,et al.  Expert System on a Chip: An Engine for Real-Time Approximate Reasoning , 1986, IEEE Expert.

[27]  Li-Xin Wang,et al.  A Course In Fuzzy Systems and Control , 1996 .

[28]  Elie Sanchez,et al.  Resolution of Composite Fuzzy Relation Equations , 1976, Inf. Control..

[29]  T. Ross.  Fuzzy Logic with Engineering Applications , 1994 .

[30]  Amit Konar,et al.  Emotion Recognition From Facial Expressions and Its Control Using Fuzzy Logic , 2009, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[31]  S.V. Dudul,et al.  Emotion recognition from facial expression using neural networks , 2008, 2008 Conference on Human System Interactions.

[32]  L. A. Zedeh.  Knowledge representation in fuzzy logic , 1989 .

[33]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[34]  Z. Zenn Bien,et al.  Facial emotional expression recognition with soft computing techniques , 2005, ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, 2005..

[35]  Jiranut Loetamonphong,et al.  An efficient solution procedure for fuzzy relation equations with max-product composition , 1999, IEEE Trans. Fuzzy Syst..

[36]  Yimo Guo,et al.  Emotion Recognition System in Images Based On Fuzzy Neural Network and HMM , 2006, 2006 5th IEEE International Conference on Cognitive Informatics.

[37]  Okechukwu A. Uwechue.  Human Face Recognition Using Third-Order Synthetic Neural Networks , 1997 .

[38]  M. Miyakoshi,et al.  Solutions of composite fuzzy relational equations with triangular norms , 1985 .

[39]  C. Pappis,et al.  A computer algorithm for the solution of the inverse problem of fuzzy systems , 1991 .

[40]  Shu-Cherng Fang,et al.  Solution Sets of Interval-Valued Fuzzy Relational Equations , 2003, Fuzzy Optim. Decis. Mak..

[41]  A. Lettieri,et al.  Characterization of some fuzzy relation equations provided with one solution on a finite set , 1984 .

[42]  Shun'ichi Tano,et al.  Backward-chaining with fuzzy 'if. . . then. . .' rules , 1993, [Proceedings 1993] Second IEEE International Conference on Fuzzy Systems.

[43]  Fred W. Roush,et al.  Generalized fuzzy matrices , 1980 .

[44]  Amit Konar,et al.  Computational Intelligence: Principles, Techniques and Applications , 2005 .

[45]  Guoyin Wang,et al.  Attribute Reduction for Massive Data Based on Rough Set Theory and MapReduce , 2010, RSKT.

[46]  Léon J. M. Rothkrantz,et al.  Emotion recognition using bimodal data fusion , 2011, CompSysTech '11.

[47]  Shun'ichi Tano,et al.  Interval-valued fuzzy backward reasoning , 1995, IEEE Trans. Fuzzy Syst..

[48]  M. Prévot.  Algorithm for the solution of fuzzy relations , 1981 .

[49]  M. Sugeno,et al.  Fuzzy relational equations and the inverse problem , 1985 .

[50]  Chi-Tsuen Yeh,et al.  On the minimal solutions of max-min fuzzy relational equations , 2008, Fuzzy Sets Syst..

[51]  Thomas G. Dietterich.  Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms , 1998, Neural Computation.

[52]  Amit Konar,et al.  Uncertainty Management in Expert Systems Using Fuzzy Petri Nets , 1996, IEEE Trans. Knowl. Data Eng..

[53]  S. Sessa.  Some results in the setting of fuzzy relation equations theory , 1984 .

[54]  Bart Kosko,et al.  Fuzzy Engineering , 1996 .

[55]  Yan-Kuen Wu,et al.  An Efficient Procedure for Solving a Fuzzy Relational Equation With Max–Archimedean t-Norm Composition , 2008, IEEE Transactions on Fuzzy Systems.

[56]  Salvatore Sessa,et al.  On the set of solutions of composite fuzzy relation equations , 1983 .

[57]  A. Konar,et al.  Voice and Facial Expression Based Classification of Emotion Using Linear Support Vector Machine , 2009, 2009 Second International Conference on Developments in eSystems Engineering.

[58]  W. Pedrycz,et al.  Fuzzy relation equations on a finite set , 1982 .

[59]  W. Pedrycz.  Inverse problem in fuzzy relational equations , 1990 .

[60]  W. Pedrycz,et al.  An introduction to fuzzy sets : analysis and design , 1998 .

[61]  C. V. Ramamoorthy,et al.  Knowledge and Data Engineering , 1989, IEEE Trans. Knowl. Data Eng..