Kaufmann, Arnold and R. Cruon. La programmation dynamique: gestion scientifique séquentielle. Kaufmann, Arnold, and Madan M. Gupta. Fuzzy mathematical models in engineering and management science. Elsevier Science In. 1988.
Kaufmann, Arnold and R. Kaufmann, Arnold, Introduction À la Combinatorique en Vue Des Applications, Par A. Kaufmann. Confiance technique : théorie mathématique de la fiabilité. Aluja, Jaime Gil. "In memory of Professor Arnold Kaufmann (1911–1994). Fuzzy Sets and Systems 8. (1996): 125-126. Victor Alexandre, Wojciech W. Gasparski (e.
Fuzzy arithmetic, Fuzzy numbers, Mathematical models. Amsterdam ; New York : North-Holland ; New York, . Sole distributors for the . and Canada, Elsevier Science Pub. Co. Collection. inlibrary; printdisabled; trent university;. Kahle/Austin Foundation.
Fuzzy Mathematical Mo. .
Modelling Issues in Engineering and Management Science. Fuzzy Zero-Base Budgeting (. Fuzzy Delphi Method (. in Forecasting and Decision Making. Discounting Problem using Fuzzy Numbers.
A General View about the Fuzzification of Models in Engineering and Management Science. oceedings{Kaufmann1988FuzzyMM, title {Fuzzy mathematical models in engineering and management science}, author {Arnold Kaufmann and Madan M. Gupta}, year {1988} }. Arnold Kaufmann, Madan M. Theoretical Concepts. Fuzzy Set Theory and System Modelling. Theory of Fuzzy Sets. Theory of Fuzzy Numbers. Evaluation of Imprecision in Fuzzy Numbers.
Fuzzy Mathematical Models in Engineering and Management Science.
Items related to Fuzzy Mathematical Models in Engineering and Management. Many new results, examples and novel applications in engineering and management science are presented. Arnold Kaufmann Fuzzy Mathematical Models in Engineering and Management Science. ISBN 13: 9780444705013. This approach makes the book interesting and easy to understand, and provides mathematical tools which readers may find useful in the study of their own problems.
ISBN13: 9780444705013. More Books . ABOUT CHEGG.
Elsevier Science Pub-lishers, North-Holland, Amsterdam, . To solve this problem, this study used the fuzzy Delphi method to identify six key factors of influence on selection outcomes and established evaluation criteria based on these factors. has been cited by the following article: TITLE: Applying Analytic Network Process to the Selection of Construction Projects. AUTHORS: Jeng-Hsiang Lin, Chien-Jou Yang. KEYWORDS: Analytic Network Process, Fuzzy Delphi Method, Construction Project, MCDM. JOURNAL NAME: Open Journal of Social Sciences, Vo. N., March 1, 2016.