7 edition of **Fuzzy mathematical models in engineering and management science** found in the catalog.

- 381 Want to read
- 2 Currently reading

Published
**1988**
by North-Holland, Sole distributors for the U.S.A. and Canada, Elsevier Science Pub. Co. in Amsterdam, New York, New York, N.Y., U.S.A
.

Written in English

- Fuzzy numbers.,
- Fuzzy arithmetic.,
- Mathematical models.

**Edition Notes**

Includes bibliographies.

Statement | Arnold Kaufmann, Madan M. Gupta. |

Contributions | Gupta, Madan M. |

Classifications | |
---|---|

LC Classifications | QA248 .K378 1988 |

The Physical Object | |

Pagination | xxiii, 338 p. : |

Number of Pages | 338 |

ID Numbers | |

Open Library | OL2045728M |

ISBN 10 | 0444705015 |

LC Control Number | 88022773 |

This book fills the gap in the field, offering a clear, user-friendly introduction to the main theoretical and practical tools for analyzing complex systems. An ftp site features the corresponding MATLAB and Mathematical tools and simulations. Market: Researchers in data management, electrical engineering, computer science, and life sciences. > Advanced Engineering Mathematics 10e by Erwin Kreyszig > > Advanced Accounting 9e by Hoyle, Schaefer, and Doupnik > > An Introduction to Management Science - Quantitative Approaches to Decision Making (Revised) 13e by David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, R. Kipp Martin >.

This study developed models to solve problems of optimisation, production, and consumption in waste management based on methods of system analysis. Mathematical models of the problems of optimisation and sustainable waste management in deterministic conditions and in a fuzzy environment were formulated. The income from production was maximised considering . Fuzzy Random Regression-Based Modeling in Uncertain Environment: /ch The parameter value determination is important to avoid the developed mathematical model is troublesome and may yield inappropriate results. However.

This paper presents a methodology for determining the chloride diffusion coefficient using a mathematical model based on fuzzy logic. The following parameters were considered in the modelling: water/cement ratio, concrete compressive strength and the temperature during mixing of the concrete. The increasing number of applications of fuzzy mathematics has generated interest in widely ranging fields, from engineering and medicine to the humanities and management sciences. Fuzzy Sets and Fuzzy Decision-Making provides an introduction to fuzzy set theory and lays the foundation of fuzzy mathematics and its applications to decision-making.

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The first section is devoted to the theoretical basis for these mathematical models. The second part deals with a variety of applications in engineering and management science.

There are also seven appendices which contain some special mathematical operations (Minkowaski's operations) on fuzzy quantities and detailed biographical by: Majumdar K and Majumder D () Some studies on uncertainty management in dynamical systems using cybernetic approaches and fuzzy techniques with applications, International Journal of Systems Science,(), Online publication date: Dec Try the new Google Books.

Check out the new look and enjoy easier access to your favorite features. Fuzzy Mathematical Models in Engineering and Management Science.

Arnold Kaufmann, Madan M. Gupta. North-Holland, - Mathematics - pages. Fuzzy Mathematical Models in Engineering and Management Science: Authors: Arnold.

Additional Physical Format: Online version: Kaufmann, A. (Arnold), Fuzzy mathematical models in engineering and management science. Amsterdam ; New York: North. DOI: / Corpus ID: Fuzzy mathematical models in engineering and management science @inproceedings{KaufmannFuzzyMM, title={Fuzzy mathematical models in engineering and management science}, author={Arnold Kaufmann and Madan M.

Gupta}, year={} }. The first section is devoted to the theoretical basis for these mathematical models. The second part deals with a variety of applications in engineering and management science.

There are also seven appendices which contain some special mathematical operations (Minkowaski's operations) on fuzzy quantities and detailed biographical material. Mathematics in Science and Engineering. Articles and issues. Latest volume All volumes. Search in this book series.

Fuzzy Models and Formal Structures. Book chapter Full text access Chapter 4 - Fuzzy Models for Operations Research Pages 15 Applications of Fuzzy Sets in Engineering and Management Introduction Engineering Applications Linguistic Evaluation and Ranking of Machine Tools Fault Detection in Gearboxes Applications in Management A Discrete Location Model Fuzzy Set Models in Logistics Type 2 fuzzy system models expose uncertainties and risks associated with the real life system behaviours and help management to make better decision for complex humanistic systems.

Kaufmann, A. and Gupta, M.M. () Fuzzy Mathematical Models in Engineering and Management Science. Elsevier Science Pub-lishers, North-Holland, Amsterdam, N.Y. 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. Ben D. MacArthur, Richard O.C. Oreffo, in Principles of Tissue Engineering (Fourth Edition), Abstract. Mathematical models are routinely used in the physical and engineering sciences to help understand complex systems and optimize industrial processes.

There are numerous examples of the fruitful application of mathematical principles to problems in cell. management research.

The literature review that we compiled consists of 73 journal articles and nine books. A classiﬁcation scheme for fuzzy applications in production management research is deﬁned.

We also identify selected bibliographieson fuzzy sets and applications. Keywords: Production Management, Fuzzy Set Theory, Fuzzy Mathematics. The book aims at surveying results in the application of fuzzy sets and fuzzy logic to economics and engineering. New results include fuzzy non-linear regression, fully fuzzified linear programming, fuzzy multi-period control, fuzzy network analysis, each using an evolutionary algorithm; fuzzy.

The book is a valuable resource for students, graduates, teachers and other professionals in the field of applied mathematics, artificial intelligence and computers, fuzzy systems and dec.

ision-making, as well as operations research and management. Fuzzy Mathematical Models in Engineering and Management Science. Technometrics: Vol.

32, No. 2, pp. The primary purpose of this course is to introduce students to the important areas of fuzzy set theory and fuzzy logic. No previous knowledge is needed regarding fuzzy set theory or fuzzy logic. Fuzzy Mathematical Models in Engineering and Management Science, A. Kaufmann and M.M.

Gupta. Fuzzy Logic, Timothy J. Ross INSTRUCTOR BIO. In the last 25 years, the fuzzy set theory has been applied in many disciplines such as operations research, management science, control theory,artificial intelligence/expert system, etc.

In this volume, methods and applications of fuzzy mathematical programming and possibilistic mathematical programming are first systematically and thoroughly. In fuzzy mathematics, fuzzy logic is a form of many-valued logic in which the truth values of variables may be any real number between 0 and 1 both inclusive.

It is employed to handle the concept of partial truth, where the truth value may range between completely true and completely false.

By contrast, in Boolean logic, the truth values of variables may only be the integer. Kaufmann, A., Gupta, M.M.: Fuzzy Mathematical Models in Engineering and Management Science. North-Holland Krohling R.A., Rigo D.

() Fuzzy Group Decision Making for Management of Oil Spill Responses. In: Mehnen J., Köppen M., Saad A., Tiwari A. (eds) Applications of Soft Computing. eBook Packages Engineering Engineering (R0) Buy. the most important fields in science and engineering at that time. However, re- management, and supply chain planning [12].

The fuzzy set theory has been ap- [20] proposed a fuzzy mathematical programming model to minimize overall. Y.-S. Chin et al. DOI: /jcc 77 Journal of Computer and Communications.

The picture fuzzy set is an efficient mathematical model to deal with uncertain real life problems, in which a intuitionistic fuzzy set may fail to reveal satisfactory results. Picture fuzzy set is an extension of the classical fuzzy set and intuitionistic fuzzy set.

The book is appropriate for graduate-level courses on fractional differential equations for students majoring in applied mathematics, engineering, physics, and computer science. Screenshot.A new method for solving fuzzy transportation problem using ranking function, Appl.

Math. Model–, ; Ismail Mohideen S., Senthil Kumar P., A comparative study on transportation problem in fuzzy environment, Int. J. Math. Res–, ]. On the other hand this technique gives much better results than some classical.