The efficacy of fuzzy representations of uncertainty

IEEE Transactions on Fuzzy Systems - Tập 2 Số 1 - Trang 4-15 - 1994
Michael Laviolette1, John W. Seaman2
1[Dept. of Math. & Stat., Missouri Univ., Rolla, MO, USA]
2Department of Information Systems, Baylor University, Waco, TX, USA

Tóm tắt

Từ khóa


Tài liệu tham khảo

10.2307/1269092

10.2307/2684452

hicks, 1989, Personal communication

10.1016/0165-0114(78)90029-5

10.1109/TSMC.1979.4310067

0

mosteller, 1990, Quantifying probabilistic expressions, Stat Sci, 5, 2, 10.1214/ss/1177012242

cheeseman, 1986, Uncertainty in Artificial Intelligence, 85, 10.1016/B978-0-444-70058-2.50011-5

rosenblatt, 1991, Personal communication

kline, 1980, Mathematics The Loss of Certainty, 261

penrose, 1989, The Emperor's New Mind, 102ff

10.1007/978-1-4613-1885-9_48

10.1214/ss/1177013611

yarnold, 1970, The minimum expectation in X<superscript>2</superscript> goodness-of-fit tests and the accuracy of approximations for the null distribution, J Amer Statist Assoc, 65, 864

10.1007/978-1-4757-1951-2

10.1016/0165-0114(90)90040-D

tanaka, 1982, Linear regression analysis with fuzzy model, IEEE Trans Syst Man Cybern, smc 7, 903

jeffreys, 1983, Theory of Probability

10.1080/01621459.1967.10500896

kyburg, 1964, Studies in Subjective Probability, 3

myers, 1990, Classical and Modern Regression with Applications

10.1016/0165-0114(91)90065-X

10.2307/2988274

box, 1973, Bayesian Inference in Statistical Analysis

press, 1989, Bayesian Statistics

10.1016/S0019-9958(65)90241-X

pilz, 1991, Bayesian Estimation and Experimental Design in Linear Models

definetti, 1974, Theory of Probability A Critical Introductory Treatment, 1

kandel, 1986, Fuzzy Mathematical Techniques with Applications

10.1016/0165-0114(88)90019-X

tribus, 1980, Fuzzy sets and Bayesian methods applied to the problem of literature search, IEEE Trans Syst Man Cybern, smc 10, 501

10.2307/2981680

howson, 1989, Scientific Reasoning The Bayesian Approach, il, 70

10.1016/B978-0-444-70058-2.50012-7

10.1017/CBO9780511809477

10.1016/0165-0114(86)90056-4

10.1016/0165-0114(87)90071-6

tiku, 1985, Encyclopedia of Statistical Sciences, 6, 279

seber, 1977, Linear Regression Analysis

kendall, 1977, The Advanced Theory of Statistics, 381

kaufmann, 1985, Introduction to Fuzzy Arithmetic

10.1080/09537289008919311

marcucci, 1985, Monitoring multinomial processes, J Qual Technol, 17, 86, 10.1080/00224065.1985.11978941

duncan, 1950, A chi-square chart for controlling a set of percentages, Ind Quality Contr, 7, 11

banks, 1989, Principles of Quality Control

krantz, 1971, Foundations of Measurement Additive and Polynomial Representations, 6

suppes, 1990, Foundations of Measurement Geometrical Threshold and Probabilistic Representations

10.1016/S0165-0114(83)80101-8

luce, 1990, Foundations of Measurement Vol III Representation Axiomatization and Invariance

10.1109/PROC.1978.11171

10.1111/j.1467-8640.1988.tb00091.x

10.1080/03081079008935108

stallings, 1977, Fuzzy set theory versus Bayesian statistics, IEEE Trans Syst Man Cybern, smc 7, 216

10.1016/0165-0114(85)90044-2

deming, 1982, Out of the Crisis

prade, 1979, Nomenclature of fuzzy measures, Proc 3rd Int Seminar Fuzzy Set Theory, 8

10.1214/ss/1177013427

stix, 1988, Fuzzy Wuzzy (in Japan) is a subway motorman, The Institute (News supplement to IEEE Spectrum), 1

ramsey, 1931, The Foundations of Mathematics and Other Logical Essays

10.1109/PROC.1979.11416

lindley, 1985, Making Decisions

savage, 1972, The Foundations of Statistics

piasecki, 1983, Probability arrangement as a fuzzy relation 'less than,' thinspace, Proc Polish Symp Interval Fuzzy Math, 187

laviolette, 1992, Evaluating fuzzy representations of uncertainty, Math Scientist, 17, 26

huber, 1981, Robust Statistics, 10.1002/0471725250

1983, Understanding Robust and Exploratory Data Analysis

10.1016/S0020-0255(71)80005-1

10.1016/S0020-7373(79)80036-X

10.1016/0020-0255(75)90036-5

10.1016/0165-0114(88)90018-8

elmer-dewitt, 1989, Time for some fuzzy thinking, Time, 79

armstrong, 1990, Why 'fuzzy logic' beats black-or-white thinking, Business Week, 92