Fuzzy sets and probability


  1. Scott Ferson and Lev Ginzburg, Fuzzy arithmetic is not a conservative way to do risk analysis, 2008 download


  2. Dubois D., Foulloy L., Mauris G., Prade H.: Probability-Possibility Transformations, Triangular Fuzzy Sets and Probabilistic Inequalities, Reliable Computing, 10 (2004), pp. 273–297.

  3. Neumaier A., Clouds, fuzzy sets and probability intervals, Reliable Computing 10: 249–272, 2004.
    [ Download ]


  4. Re: fuzzy inference - Dmitry Kazakov (2003.09.11)

  5. UAI - Decision theories and other threads - Paul Snow (2003.09.08)

  6. UAI - Decision Theories - prof. Zadeh (2003.09.02)

  7. UAI Fuzzy versus probability - An example in practice.txt (2003.07.19)

  8. Re UAI Maximum Entropy Principle (2003.07.17)

  9. Prof. Zadeh's messages and responses to the UAI & BISC lists (2003.07.11)

  10. Uncertainty (Behavioral finance FAQ)

  11. J.J.Buckley, "Fuzzy Probabilities and Fuzzy Sets for Web Planning",
    Studies in Fuzziness and Soft Computing, Vol. 135, Springer, 2003

  12. V. Kratschmer, When fuzzy measures are upper envelopes of probability measures,
    Journal: Fuzzy Sets and Systems
    Volume : 138
    Issue : 3
    pp 455-468
    Date : 16-Sep-2003
    Full text via ScienceDirect

  13. Neumaier A., On the structure of clouds, 2003,
    [ Download ]

  14. Neumaier A., Clouds, fuzzy sets and probability intervals, 2003,
    [ Download ]

  15. S.M. Taheri, Trends in Fuzzy Statistics. Austrian J. Stat., Vol. 32, No. 3., pp: 239-257, 2003


  16. Is there anything wrong with fuzzy inference?, 2002, (Mon, 17 Jun 2002 21:20:17 GMT )

  17. Computing and modelling with fuzzy data (University of Innsbruck)

  18. Borgelt, Christian; Kruse, Rudolf, 2002,
    Learning from imprecise data: possibilistic graphical models
    Computational Statistics and Data Analysis Volume: 38, Issue: 4, February 28, 2002, pp. 449-463
    [ Download (ICM) ]

  19. Hung T. Nguyen, Masao Mukaidono, and Vladik Kreinovich, 2002,
    PROBABILITY OF IMPLICATION, LOGICAL VERSION OF BAYES THEOREM,
    AND FUZZY LOGIC OPERATIONS
    [ Download ] [ Local copy ]

  20. Sadeghpour Gildeh, B., Gien, D., 2002. A goodness of t index to reliability analysis in fuzzy model. 3rd WSES International Conference on Fuzzy Sets and Fuzzy Systems, Interlaken, Switzerland.

  21. Sadeghpour Gildeh, B., Gien, D., 2002. D p;q -distance and Rao-Blackwell theorem for fuzzy random variables. 8th International Conference on Fuzzy Theory and Technology, Durham, USA.

  22. Taheri, S.M., Behboodian, J., 2002. Fuzzy hypotheses testing with fuzzy data: a Bayesian approach. In: Nikhil, R.P., Sugeno, M. (Eds.), Advances in Soft Computing, AFSS2002, Springer, pp. 527-533.

  23. Zadeh L.A., Probability Theory and Fuzzy Logic
    [ Download ]

  24. Zadeh L.A., Toward a perception-based theory of probabilistic reasoning
    with imprecise probabilities.
    Journal of Statistical Planning and Inference, 105 (2002) 233–264
    [ Download ]


  25. Causality is Undefinable - Toward a Theory of Hierarchical Definability
    Professor Lotfi A. Zadeh (30 Sep 2001)
    [ Download ]

  26. Thomas' Fuzziness and Probability (Aug 02 2001 - 18:52 GMT)

  27. Humans think fuzzy? (May 01 2001)

  28. Ayoun, A. and Smets, Ph., 2001,
    Data association in multi-target detection using the transferable belief model.
    [ Download ] [ Local copy ]

  29. J. van den Berg, W.M. van den Bergh, U. Kaymak, 2001,
    PROBABILISTIC AND STATISTICAL FUZZY SET FOUNDATIONS
    OF COMPETITIVE EXCEPTION LEARNING
    [ Download ] [ Local copy ]

  30. Bernadette Bouchon-Meunier, Vladik Kreinovich, and Hung T. Nguyen, 2001,
    NON-ASSOCIATIVE OPERATIONS
    Proceedings of the Second International Conference
    on Intelligent Technologies InTech'2001,
    Bangkok, Thailand, November 27-29, 2001, pp. 39-46.
    [ Download ] [ Local copy ]

  31. Chang, Y.O., 2001. Hybrid fuzzy least-squares regression analysis and its reliability measures. Fuzzy Sets Syst. 119, 225-246.

  32. Dubois, D., Grabisch, M., Prade, H. and Smets, Ph., 2001,
    Using the transferable belief model and a qualitative possibility theory approach
    on an illustrative example: the assessment of the value of a candidate.
    [ Download ] [ Local copy ]

  33. Didier Dubois, Henri Prade, Philippe Smets, 2001,
    New semantics for quantitative possibility theory.
    SECOND INTERNATIONAL SYMPOSIUM ON IMPRECISE PROBABILITIES AND THEIR APPLICATIONS.
    Cornell University, Ithaca, NY, USA, 26 - 29 June 2001
    [ Download ] [ Local copy ]

  34. Th. Fetz, 2001,
    Sets of Joint Probability Measures Generated by Weighted Marginal Focal Sets.
    [ Download ] [ Local copy ]

  35. Jim Hall, Jonathan Lawry, 2001,
    Imprecise Probabilities of Engineering System Failure
    from Random and Fuzzy Set Reliability Analysis.
    SECOND INTERNATIONAL SYMPOSIUM ON IMPRECISE PROBABILITIES AND THEIR APPLICATIONS.
    Cornell University, Ithaca, NY, USA, 26 - 29 June 2001
    [ Download ] [ Local copy ]

  36. Vladik Kreinovich, Claude Langrand, and Hung T. Nguyen, 2001,
    COMBINING FUZZY AND PROBABILISTIC KNOWLEDGE USING BELIEF FUNCTIONS
    Proceedings of the Second Vietnam-Japan Bilateral Symposium
    on Fuzzy Systems and Applications VJFUZZY'2001,
    Hanoi, December 7-8, 2001
    [ Download ] [ Local copy ]

  37. Tsau Young Lin, 2001,
    Granural Fuzzy Sets: A View from Rough Set and Probability Theories
    International Journal of Fuzzy Systems, Vol. 3., No.2, Joune 2001
    [ Download ] [ Local copy ]

  38. Montenegro, M., Casals, M.R., Lubiano, M.A., Gil, M.A., 2001. Two-sample hypothesis tests of a fuzzy random variable. Inf. Sciences 133, 89-100.

  39. Hung T. Nguyen, Vladik Kreinovich, and Luc Longpre, 2001,
    SECOND-ORDER UNCERTAINTY AS A BRIDGE BETWEEN PROBABILISTIC AND FUZZY APPROACHES
    Published in Proceedings of the 2nd Conference of the European Society
    for Fuzzy Logic and Technology EUSFLAT'01,
    Leicester, England, September 5-7, 2001, pp. 410-413
    [ Download ] [ Local copy ]

  40. Taheri, S.M., Behboodian, J., 2001. A Bayesian approach to fuzzy hypotheses testing. Fuzzy Sets Syst. 123, 39-48.

  41. Verkuilen J., 2001,
    Measuring Fuzzy Set Membership Functions:
    A Dual Scaling Approach.
    [ Download ] [ Local copy ]

  42. Ronald Yager, 2001,
    Characterizing Fuzzy Measures Used in Uncertainty Representation.
    SECOND INTERNATIONAL SYMPOSIUM ON IMPRECISE PROBABILITIES AND THEIR APPLICATIONS.
    Cornell University, Ithaca, NY, USA, 26 - 29 June 2001
    [ Download ] [ Local copy ]


  43. Does fuzzy bound probability? (Tue Nov 21 2000 - 12:05:37 MET)

  44. Imprecise Probability (Wed Nov 15 2000 - 12:52:55 MET)

  45. Probability and possibility(Wed Nov 08 2000 - 15:06:46 MET)

  46. Fuzzy models : a question (Fr 9 8 2000)

  47. Bill Harlan, Fuzzy logic is silly (2000)

  48. Gleb Beliakov, Definition of general aggregation operators through similarity relations, Fuzzy Sets and Systems, Volume 114, Issue 3, 16 September 2000, Pages 437-453
    [ Abstract ]

  49. M. Skarstein Bjanger, 2000,
    Induction of decision trees from partially classified data using belief functions.
    Master Thesis, Norwegian University of Science and Technology and University of Compiegne, 2000
    [ Download ] [ Local copy ]

  50. Chen, Y.Y., 2000. Fuzzy analysis of statistical evidence. IEEE Trans. on Fuzzy Systems 8, 796-799.

  51. Cooke R. and Smets Ph., 2000,
    Self conditioning probabilities and probabilistic interpretations of belief functions.
    [ Download ] [ Local copy ]

  52. Dubois D., Prade H. and Smets Ph., 2000,
    New Semantics for Quantitative Possibility Theory.
    [ Download ] [ Local copy ]

  53. Leen Gilbert, Gert de Cooman and Etienne E. Kerre, 2000,
    Practical implementation of possibilistic probability mass functions.
    Published in: Proceedings of the Fifth Workshop on Uncertainty Processing
    (WUPES 2000,Jindrichuv Hradec, Czech republic, June 21-24, 2000), pp. 90-101.
    [ Download ] [ Local copy ]

  54. I. R. Goodman, Raul A. Trejo, Vladik Kreinovich, Jesus Martinez, and Reginaldo Gonzalez, 2000,
    AN EVEN MORE REALISTIC (NON-ASSOCIATIVE) INTERVAL LOGIC AND ITS RELATION TO PSYCHOLOGY OF HUMAN REASONING
    [ Download ] [ Local copy ]

  55. Grzegorzewski, P., 2000. Testing statistical hypotheses with vague data. Fuzzy Sets Syst. 112, 501-510.

  56. Cliff Joslyn, 2000,
    Measures of Distortion in Possibilistic Approximations of Consistent Random Sets and Intervals,
    Proc. 2001 Joint Conf. of the North American Fuzzy Information Processing Society
    and the International Fuzzy Systems Association, Vancouver, July, 2001, pp.~1735-1740.
    [ Download ] [ Local copy ]

  57. Korner, R., 2000. An asymptotic -test for the expectation of random fuzzy variables. J. Stat. Plan. Inf. 83, 331-346.

  58. Lapointe, S., Bobee, B., 2000. Revision of possibility distributions: a Bayesian inference pattern. Fuzzy Sets Syst. 116, 119-140

  59. Lee, E.S., 2000. Neuro-fuzzy estimation in spatial statistics. J. Math. Anal. Appl. 249, 221-231.

  60. Gleb Beliakov, Definition of general aggregation operators through similarity relations, Fuzzy Sets and Systems, Volume 114, Issue 3, 16 September 2000, Pages 437-453
    [ Abstract ]

  61. Hung T. Nguyen, 2000,
    Some mathematical structures for computational information
    Information Sciences Volume: 128, Issue: 1-2, September, 2000, pp. 67-89
    [ Download (ICM) ]

  62. Hung T. Nguyen, Vladik Kreinovich, and Leonid Reznik, 2000,
    INTEGRATING DOMAIN KNOWLEDGE WITH DATA: FROM CRISP TO PROBABILISTIC AND FUZZY KNOWLEDGE
    [ Download ] [ Local copy ]

  63. Hung T. Nguyen, Witold Pedrycz, and Vladik Kreinovich, 2000,
    ON APPROXIMATION OF FUZZY SETS BY CRISP SETS: FROM CONTINUOUS CONTROL-ORIENTED DEFUZZIFICATION TO DISCRETE DECISION MAKING
    [ Download ] [ Local copy ]

  64. Nunez-Garcija H., Wolkenhauer O., 2000,
    Random Sets and Histograms
    [ Download ] [ Local copy ]

  65. Philippe Smets, 2000,
    Quantified Epistemic Possibilty Theory seens as an Hyper Cautious
    Transferable Belief Model, Technical Report
    [ Download ] [ Local copy ]

  66. Tonon, F.; Bernardini, A.; Mammino, A., 2000,
    Determination of parameters range in rock engineering by means of Random Set Theory
    Reliability Engineering and System Safety Volume: 70, Issue: 3, December, 2000, pp. 241-261
    [ Download (ICM)]

  67. Tonon, F.; Bernardini, A.; Mammino, A., 2000,
    Reliability analysis of rock mass response by means of Random Set Theory
    Reliability Engineering and System Safety Volume: 70, Issue: 3, December, 2000, pp. 263-282
    [ Download (ICM)]

  68. Yeung Yam, Vladik Kreinovich, and Hung T. Nguyen, 2000,
    EXTRACTING FUZZY SPARSE RULE BASE BY CARTESIAN REPRESENTATION AND CLUSTERING
    [ Download ] [ Local copy ]


  69. Fuzzy and probability (Sat Jan 30 1999 - 22:33:12 MET)

  70. Fuzzy and rough (Thu Jun 03 1999 - 03:32:03 MET DST)

  71. Conditioned probability (Thu Jun 03 1999 - 03:32:03 MET DST)

  72. Dubois, Didier; Prade, Henri, 1999
    Properties of measures of information in evidence and possibility theories
    Fuzzy Sets and Systems Volume: 100, Supplement 1, 1999, pp. 35-49
    [ Download (ICM) ]

  73. Goodman, I.R., 1999
    Homomorphic-like random set representations for fuzzy logic models
    using exponentiation with applications to data fusion
    Information Sciences Volume: 113, Issue: 1-2, January, 1999, pp. 85-112
    [ Download (ICM) ]

  74. Th. Fetz, J. Jäger, D. Köll, G. Krenn, H. Lessmann, M. Oberguggenberger, A. Rieser, R. F. Stark, 1999
    Fuzzy models in geotechnical engineering and construction management
    Computer-Aided Civil and Infrastructure Engineering, 14:93-106, 1999.
    [ Download ] [ Local copy ]

  75. Th. Fetz, M. Oberguggenberger, S. Pittschmann, 1999
    Applicatons of possibility and evidence theory in civil engineering.
    In de Cooman G., Cozman F., Moral S. and Walley P., editors,
    Proceeding of the First International Symposium
    on Imprecise Probabilities and Their Applications, pages 146-153,
    [ Download ] [ Local copy ]

  76. Hugo J. Janssen, Gert de Cooman and Etienne E. Kerre, 1999,
    Coherent models for discrete possibilistic systems
    [ Download ] [ Local copy ]

  77. Cliff Joslyn, 1999,
    Possibilistic Systems Within a General Information Theory
    [ Download ] [ Local copy ]

  78. Kersten, P.R., 1999. Fuzzy order statistics and their application to fuzzy clustering. IEEE Trans. on Fuzzy Systems 7, 708-712.

  79. Murali Krishna, Vladik Kreinovich, and Roberto Osegueda, 1999,
    FUZZY LOGIC IN NON-DESTRUCTIVE TESTING OF AEROSPACE STRUCTURES
    [ Download ] [ Local copy ]

  80. Last, M., Schenker, A., Kandel. A., 1999. Applying fuzzy hypothesis testing to medical data. In: Zhong, N., Skowron, A., Ohsuga, S. (Eds.), New Directions in Rough Sets, Data Mining, and Granular-Soft Computing. Lecture Notes in Arti cial Intelligence Series, Vol. 1711, Springer, pp. 221-229.

  81. Hung T. Nguyen, Berlin Wu, and Vladik Kreinovich, March 1999,
    A NEW LOOK AT FUZZY THEORY VIA CHU SPACES
    [ Download ] [ Local copy ]

  82. Hung T. Nguyen, Berlin Wu, and Vladik Kreinovich, 1999,
    FUZZY/PROBABILITY ~ FRACTAL/SMOOTH
    [ Download ] [ Local copy ]

  83. Hung T. Nguyen, Berlin Wu, and Vladik Kreinovich, 1999,
    ON COMBINING STATISTICAL AND FUZZY TECHNIQUES: DETECTION OF BUSINESS CYCLES FROM UNCERTAIN DATA
    [ Download ] [ Local copy ]

  84. Helen M. Regan, Scott Ferson, Daniel Berleant, 1999,
    Equivalence of methods for uncertainty propagation of real-valued random variables,
    Journal of Approximate Reasoning
    [ Download ] [ Local copy ]

  85. Smets, Ph., 1999,
    Practical Uses of Belief Functions.
    [ Download ] [ Local copy ]

  86. Taheri, S.M., Behboodian, J., 1999. Neyman-Pearson lemma for fuzzy hypotheses testing. Metrica 49, 3-17.

  87. Tonon, F.; Bernardini, A.; Elishakoff, I., 1999,
    Concept of Random Sets as Applied to the Design of Structures
    and Analysis of Expert Opinions for Aircraft Crash
    Chaos, Solitons & Fractals Volume: 10, Issue: 11, November, 1999, pp. 1855-1868
    [ Download (ICM) ]

  88. Dimitris Tsaptsinos, 1999,
    What fuzziness is not Probability
    [ Download ]

  89. Hsien-Chung Wu
    Probability density functions of fuzzy random variables
    Fuzzy Sets and Systems
    Volume 105, Issue 1 , 1 July 1999, Pages 139-158
    [ ScienceDirect ]

  90. Yager, Ronald R., 1999,
    Modeling uncertainty using partial information
    Information Sciences Volume: 121, Issue: 3-4, December 2, 1999, pp. 271-294
    [ Download (ICM)]

  91. Yeung Yam, Vladik Kreinovich, and Hung T. Nguyen, 1999,
    EXTRACTING FUZZY SPARSE RULE BASE BY CARTESIAN REPRESENTATION AND CLUSTERING
    [ Download ] [ Local copy ]


  92. Prob. vs. poss., again... Fri, 1 May 1998 12:08:48 +0200 (MET DST)

  93. Transfoming probability distributions into fuzzy sets Sun, 9 Aug 1998 23:55:21 +0200 (MET DST)

  94. Why x+y-xy is called probabilistic OR? Mon, 2 Mar 1998 17:54:01 +0100 (MET)

  95. J. F. Baldwin, J. Lawry and T. P. Martin, A note on the conditional probability of fuzzy subsets of a continuous domain, Fuzzy Sets and Systems, Volume 96, Issue 2, 1 June 1998, Pages 211-222
    Abstract

  96. J. J. Buckleya, W. Siler, A new t-norm
    Fuzzy Sets and Systems
    Volume 100, Issues 1-3 , 16 November 1998, Pages 283-290
    Full text via ScienceDirect

  97. Chang, Y.O., Ayyub, B.M., 1998. Hybrid least-squares regression analysis. In: Ayyub, B.M., Gupta, M.M. (Eds.), Uncertainty Analysis in Engineering and Sciences. Kluwer, pp. 179-191.

  98. Gert de Cooman, 1998,
    Possibilistic previsions.
    [ Download ] [ Local copy ]

  99. Thierry Denoeux, 1998,
    Modeling vague beliefs using fuzzy-valued belief structures
    [ Download ] [ Local copy ]

  100. Lopez-Diaz, M., Gil, M.A., 1998. Reversing the order of integration in iterated expectations of fuzzy random variables, and statistical applications. J. Stat. Plan. Inf. 74, 11-29.

  101. Menendez, M.L., 1998. The minimum -divergence estimates with fuzzy observations: statistical applications. Fuzzy Sets Syst. 96, 101-109.

  102. Nather, W., Korner, R., 1998. Linear regression with random fuzzy numbers. In: Ayyub, B.M., Gupta, M.M. (Eds.), Uncertainty Analysis bin Engineering and Sciences. Kluwer, pp. 193-211.

  103. Luis Rocha, Cliff Joslyn, 1998,
    Towards a Formal Taxonomy of Hybrid Uncertainty Representations
    [ Download ] [ Local copy ]

  104. Smets, Ph., 1998,
    The Application of the Transferable Belief Model to Diagnostic Problems.
    [ Download ] [ Local copy ]

  105. Smets Ph., 1998,
    Probability, Possibility, Belief: Which and Where?
    [ Download ] [ Local copy ]

  106. Yen, J., Wang, L., 1998. Applications of statistical information criteria for optimal fuzzy model construction. IEEE Trans. on Fuzzy Systems 6, 362-372.

  107. Zhang Zhen, Cao YunJuan, First-order logic –– The unity of fuzziness and randomness, Fuzzy Sets and Systems, Volume 93, Issue 2, 16 January 1998, Pages 185-195
    [ Abstract ]


  108. Fuzziness vs. probability Vilem Novak - Tue, 19 Aug 1997 12:26:00 +0200 (MET DST)

  109. PROBABILITY-POSSIBILITY CONSISTENCY Fri, 28 Nov 1997 20:23:51 +0100 (MET)

  110. Christian Borgelt, Rudolf Kruse, 1997,
    Evaluation Measures for Learning Probabilistic and Possibilistic Networks
    [ Download ] [ Local copy ]

  111. Christian Borgelt, Rudolf Kruse, 1997,
    Some Experimental Results on Learning Probabilistic and Possibilistic Networks
    with Different Evaluation Measures
    [ Download ] [ Local copy ]

  112. Gert de Cooman,, Dirk Aeyels, 1997,
    A Random Set Description of a Possibility Measure and Its Natural Extension
    [ Download ] [ Local copy ]

  113. Gert de Cooman, 1997,
    A Random Set Description of a Possibility Measure and Its Natural Extension
    [ Download ] [ Local copy ]

  114. Thierry Denoeux, 1997,
    Reasoning with imprecise belief structures.
    [ Download ] [ Local copy ]

  115. Dubois, D., Prade, H., 1997. Bayesian conditioning in possibility theory. Fuzzy Sets Syst. 92, 223-240.

  116. Didier Dubois, Henri Prade, The three semantics of fuzzy sets, Fuzzy Sets and Systems, Volume 90, Issue 2, 1 September 1997, Pages 141-150
    [ Abstract ]

  117. Gertner, G.Z., Zhu, H., 1997. Bayesian estimation in forest surveys when samples or prior information are fuzzy. Fuzzy Sets Syst. 77, 277-290.

  118. Cliff Joslyn, 1997,
    Distributional Representations Of Random Interval Measurements
    [ Download ] [ Local copy ]

  119. Cliff Joslyn, 1997,
    Possibilistic Normalization of Inconsistent Random Intervals
    [ Download ] [ Local copy ]

  120. Li, Qing-De, 1997,
    The random set and the cutting of random fuzzy sets,
    Fuzzy Sets and Systems, Volume: 86, Issue: 2, March 1, 1997, pp. 223-234
    [ Download (ICM) ]

  121. Woodal, W.H., Tsui, K.L., Tucker, G.R., 1997. A review of statistical and fuzzy control based on categorical data. Frontiers in Statistical Quality Control. Heidelberg, Germany, Physica-Verlag, 5, 83-89.

  122. Hong, Xu, 1997,
    Valuation-based systems for decision analysis using belief functions
    Decision Support Systems Volume: 20, Issue: 2, June, 1997, pp. 165-184
    [ Download (ICM) ]


  123. fuzzy logic and probability Fri, 12 Jul 1996 13:46:09 +0200

  124. Fuzzy Logic Compared to probability Tue, 27 Feb 1996 17:37:39 +0100

  125. Fuzzy logic compared to probability Tue, 27 Feb 1996 17:37:39 +0100

  126. Fuzzy vs. Probability: Just give it to me in plain English Fri, 3 May 1996 13:04:11 +0200

  127. help: possibility / probability transformations Tue, 30 Apr 1996 15:30:43 +0200

  128. probability vs. fuzziness Mon, 11 Mar 1996 12:51:41 +0100

  129. J. F. Baldwin, J. Lawry and T. P. Martin, A mass assignment theory of the probability of fuzzy events, Fuzzy Sets and Systems, Volume 83, Issue 3, 11 November 1996, Pages 353-367
    [ Abstract ]

  130. Cai K.-Y., 1996, Introduction to Fuzzy Reliability. Kluwer Academic Publishers, Dordrecht

  131. Didier Dubois, Henri Prade, What are fuzzy rules and how to use them, Fuzzy Sets and Systems, Volume 84, Issue 2, 9 December 1996, Pages 169-185
    [ Abstract ]

  132. Cliff Joslyn, 1996,
    Hybrid Methods to Represent Incomplete and Uncertain Information
    [ Download ] [ Local copy ]

  133. Cliff Joslyn, 1996,
    Measurement of Possibilistic Histograms from Interval Data
    [ Download ] [ Local copy ]

  134. Vladik Kreinovich, 1996,
    RANDOM SETS UNIFY, EXPLAIN, AND AID KNOWN UNCERTAINTY METHODS IN EXPERT SYSTEMS
    [ Download ] [ Local copy ]

  135. Hwang, C., Yao, J., 1996. Independent fuzzy random variables and their application. Fuzzy Sets Syst. 82, 335-350.

  136. Kim, K.J., Moskowitz, H., Koksalan, M., 1996. Fuzzy versus statistical linear regression. Euro. J. Oper. Res. 92, 417-434.

  137. Mahler, Ronald P. S., 1996,
    Representing Rules as Random Sets, I: Statistical Correlations between Rules
    Information Sciences Volume: 88, Issue: 1-4, January, 1996, pp. 47-68
    [ Download (ICM) ]

  138. Pei Wang, 1996,
    The Interpretation of Fuzziness
    [ Download ] [ Local copy ]

  139. Viertl, R., 1996. Statistical Methods for Non-Precise Data. CRC Press.

  140. Watanabe, N., 1996. Fuzzy random variables and statistical inference. Japanese J. of Fuzzy Theory and Systems. 8, 833-846.

  141. Yao, J., Hwang, C., 1996. Point estimation for n sizes of random sample with one vague data. Fuzzy Sets Syst. 80, 205-215.


  142. FAM and Probability Theory: Fuzzy vs. Statistics 28 Jun 1995 16:55:52 GMT

  143. Fuzzy versus Probabilistic Reasoning 30 May 1995 12:50:56 GMT

  144. J F Baldwin, J Lawry , T P Martin (1995),
    A Note on Probability / Possibility Consistency for Fuzzy Events,
    proceedings of IPMU 96 (the conference of Information Processing
    and Management of Uncertainty), Granada, Spain
    [ Download ] [ Local copy ]

  145. Bernard de Baets and Gert de Cooman, 1995,
    Constructing possibility measures.
    [ Download ] [ Local copy ]

  146. Taner Bilgic, I. Burhan Türksen, 1995,
    Measurement of Membership Functions: Theoretical and Empirical Work
    [ Download ] [ Local copy ]

  147. Chen, Y.Y., 1995. Statistical inference based on the possibility and belief measures. Trans. Amer. Math. Soc. 347, 1855-1863.

  148. Gert de Cooman, 1995,
    Generalized possibility and necessity measures on fields of sets.
    [ Download ] [ Local copy ]

  149. Gert de Cooman, 1995,
    The formal analogy between possibility and probability theory.
    [ Download ] [ Local copy ]

  150. Goodman, I.R., 1995,
    Applications of product space algebra of conditional events
    and one-point random set representations of fuzzy sets
    to the development of conditional fuzzy sets
    Fuzzy Sets and Systems Volume: 69, Issue: 3, February 10, 1995, pp. 257-278
    [ Download (ICM)]

  151. Grabisch, M., Nguyen, H.T., Walker. E., 1995. Fundamentals of uncertainty calculi with applications to fuzzy inference. Kluwer.

  152. Cliff Joslyn, August 1995,
    Strong Probabilistic Compatibility of Possibilistic Histograms
    [ Download ] [ Local copy ]

  153. Klir, George J., 1995,
    Principles of uncertainty: What are they? Why do we need them?
    Fuzzy Sets and Systems Volume: 74, Issue: 1, August 25, 1995, pp. 15-31
    [ Download (ICM) ]

  154. Bogdan R. Kosanovic, 1995,
    Fuzziness and Probability
    [ Download ]

  155. Laviolette, M., Seaman, J.W., Barrett, J.D., Woodall, W.H., 1995. A probabilistic and statistical view of fuzzy methods (with discussion). Technometrics 37, 249-296.

  156. Lee, E.S., 1995. Fuzzy spatial statistics. In: Selected Papers of Engineering Chemistry and Metallurgy. Institute of Chemical Metallurgy, Chinese Academy of Science, pp. 151-157.

  157. Romer, C., Kandel, A., 1995. Statistical tests for fuzzy data. Fuzzy Sets Syst. 72, 1-26.

  158. S. F. Thomas, "FUZZINESS AND PROBABILITY"
    1995; 320 pages; ISBN 0-8050-2356-0;
    Publisher: ACG Press, PO Box 782948, Wichita KS 67278-2948, USA
    [ Link ]

  159. Zadeh, L.A., 1995. Probability and fuzziness are completibility rather than contradictory. Techno- metrics 37, 271-277.


  160. What is the relationship between fuzzy truth values and probabilities?, 1994

  161. Abramovitch Daniel, 1994,
    Some Crisp Thoughts on Fuzzy Logic.
    [ Download ]

  162. Berenji H., Bonissone P., Bezdek J., Dubois D., Kruse R., Prade H., Smets Ph. and Yager R., 1994,
    A reply to the Paradoxical Success of Fuzzy Logic.
    [ Download ] [ Local copy ]

  163. Gert de Cooman and Bart Cappelle, 1994,
    A possibilistic uncertainty model in classical reliability theory.
    [ Download ] [ Local copy ]

  164. Gert de Cooman and Etienne E. Kerre, 1994,
    A new approach to possibilistic independence.
    [ Download ] [ Local copy ]

  165. John Drakopoulos, 1994,
    Probabilities, Possibilities, and Fuzzy Sets.
    [ Download ] [ Local copy ]

  166. Cliff Joslyn, 1994,
    A Possibilistic Approach to Qualitative Model-Based Diagnosis
    [ Download ] [ Local copy ]

  167. Cliff Joslyn, 1994,
    Qualitative Model-Based Diagnosis Using Possibility Theory
    [ Download ] [ Local copy ]

  168. Kenneth G. Manton, Max A. Woodbury, H. Dennis Tolley
    Statistical Applications Using Fuzzy Sets
    ISBN: 0-471-54561-9, Hardcover, 312 pages, May 1994
    [ Link ]

  169. Laviolette, M., Seaman, J.W., 1994. Unity and diversity of fuzziness - from a probability viewpoint. IEEE Trans. on Fuzzy Systems, Vol. 2, 38-42.

  170. Peters, G., 1994. Fuzzy linear regression with fuzzy intervals. Fuzzy Sets Syst. 63, 45-55.

  171. Smets Ph., 1994,
    What is Dempster-Shafer's model ?
    [ Download ] [ Local copy ]

  172. Smets Ph. and Kennes R., 1994,
    The transferable belief model.
    Artificial Intelligence 66, 191-234.
    [ Download ] [ Local copy ]

  173. Takayanagi, S., Cli , N., 1994. The fuzziness index for examining human statistical decision-making. In: Marks II, R.J. (Ed.), Fuzzy Logic Technology and Applications, IEEE Technical Activities Board, pp. 509-514.


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