The Role of Constrained Fuzzy Arithmetic in Engineering

When fuzzy arithmetic is employed for dealing with fuzzy systems, which are viewed as systems of linguistic variables, it is essential to take into account all information regarding the linguistic variables involved. It is argued that the standard fuzzy arithmetic does not utilize some of the information available. As a consequence, it may produce results that are more imprecise than necessary or, possibly, even incorrect. Basic ideas of a revised fuzzy arithmetic, which takes all available information into account in terms of relevant requisite constrains, are discussed and illustrated by some examples, focusing particularly on those pertaining to the various areas of engineering.

[1]  Ramon E. Moore Methods and applications of interval analysis , 1979, SIAM studies in applied mathematics.

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

[3]  Shyi-Ming Chen,et al.  A new method for evaluating weapon systems using fuzzy set theory , 1996, IEEE Trans. Syst. Man Cybern. Part A.

[4]  Milan Mares,et al.  How to handle fuzzy-quantities? , 1977, Kybernetika.

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

[6]  George J. Klir,et al.  Principles of uncertainty: What are they? Why do we need them? , 1995, Fuzzy Sets Syst..

[7]  D. Dubois,et al.  An application of fuzzy arithmetic to the optimization of industrial machining processes , 1987 .

[8]  Lotfi A. Zadeh,et al.  The concept of a linguistic variable and its application to approximate reasoning-III , 1975, Inf. Sci..

[9]  D. Dubois,et al.  Operations on fuzzy numbers , 1978 .

[10]  Elie Sanchez NON STANDARD FUZZY ARITHMETIC , 1994 .

[11]  Erik K. Antonsson,et al.  Trade-off strategies in engineering design , 1991 .

[12]  Ramesh C. Jain Tolerance analysis using fuzzy sets , 1976 .

[13]  Shyi-Ming Chen,et al.  A fuzzy reasoning approach for rule-based systems based on fuzzy logics , 1996, IEEE Trans. Syst. Man Cybern. Part B.

[14]  Milan Mare,et al.  Fuzzy quantities in networks , 1983 .

[15]  G. Klir,et al.  Bayesian inference based on fuzzy probabilities , 1996, Proceedings of IEEE 5th International Fuzzy Systems.

[16]  J. D. Jones,et al.  Calculating functions of fuzzy numbers , 1993 .

[17]  J. Bowles,et al.  Application of fuzzy logic to reliability engineering , 1995, Proc. IEEE.

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

[19]  Kevin Otto,et al.  Determining optimal points of membership with dependent variables , 1993 .

[20]  A. Kaufmann,et al.  Introduction to fuzzy arithmetic : theory and applications , 1986 .

[21]  F. S. Wong,et al.  Fuzzy weighted averages and implementation of the extension principle , 1987 .

[22]  Cai Kaiyuan,et al.  Fuzzy reliability modeling of gracefully degradable computing systems , 1991 .

[23]  W. Pedrycz Why triangular membership functions , 1994 .

[24]  Mao-Jiun J. Wang,et al.  Subjective assessment of mental workload: a fuzzy linguistic multi-criteria approach , 1994 .

[25]  Erik K. Antonsson,et al.  Fuzzy sets in engineering design and configuration , 1996 .

[26]  R. B. Kearfott,et al.  Applications of interval computations , 1996 .

[27]  D. Singer A fuzzy set approach to fault tree and reliability analysis , 1990 .

[28]  Chiu-Keung Law Using fuzzy numbers in educational grading system , 1996, Fuzzy Sets Syst..

[29]  E. Antonsson,et al.  Engineering design calculations with fuzzy parameters , 1992 .

[30]  D. Dubois,et al.  Additions of interactive fuzzy numbers , 1981 .

[31]  Shyi-Ming Chen,et al.  New method for fuzzy system reliability analysis , 1996 .

[32]  Kumares C. Sinha,et al.  A fuzzy mathematical approach for bridge condition evaluation , 1988 .

[33]  George J. Klir,et al.  Bayesian Inference Based on Interval-Valued Prior Distributions and Likelihoods , 1997, J. Intell. Fuzzy Syst..

[34]  R. Yager On the lack of inverses in fuzzy arithmetic , 1980 .

[35]  Kurt J. Schmucker,et al.  Fuzzy Sets, Natural Language Computations, and Risk Analysis , 1983 .

[36]  M. Mares,et al.  Computation Over Fuzzy Quantities , 1994 .

[37]  Shyi-Ming Chen FUZZY SYSTEM RELIABILITY-ANALYSIS USING FUZZY NUMBER ARITHMETIC OPERATIONS (VOL 64, PG 31, 1994) , 1994 .

[38]  H. Prade,et al.  Inverse Operations for Fuzzy Numbers , 1983 .

[39]  W. Dong,et al.  Fuzzy computations in risk and decision analysis , 1985 .

[40]  G. Alefeld,et al.  Introduction to Interval Computation , 1983 .

[41]  James J. Buckley,et al.  Solving fuzzy equations , 1992 .

[42]  T. Onisawa,et al.  Reliability and Safety Analyses under Fuzziness , 1995 .

[43]  D. Dubois,et al.  Fuzzy real algebra: Some results , 1979 .

[44]  Yin Pan,et al.  BAYESIAN INFERENCE OF FUZZY PROBABILITIES , 1997 .

[45]  A. Neumaier Interval methods for systems of equations , 1990 .