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Thursday, July 30, 2020 | History

4 edition of Applications of fuzzy sets and the theory of evidence to accounting found in the catalog.

Applications of fuzzy sets and the theory of evidence to accounting

Applications of fuzzy sets and the theory of evidence to accounting

  • 389 Want to read
  • 2 Currently reading

Published by JAI Press in Greenwich, Conn .
Written in English

    Subjects:
  • Accounting -- Decision making.,
  • Fuzzy sets.,
  • Managerial accounting.

  • Edition Notes

    Statementedited by Philip H. Siegel, Andre de Korvin, and Khursheed Omer.
    SeriesStudies in managerial and financial accounting ;, v. 3, 7
    ContributionsSiegel, Philip H.
    Classifications
    LC ClassificationsHF5657 .A66 1995
    The Physical Object
    Pagination2 v. :
    ID Numbers
    Open LibraryOL1269563M
    ISBN 101559381337
    LC Control Number95000693

    Application of fuzzy set theory in image analysis Robin Strand Fuzzy set A fuzzy subset S of a set X is a set of ordered pairs S = {(x, In the computer exercise (and in the book): An object as a fuzzy connected component Given one or several seeds. Since , fuzzy set theory has been considerably developed by Zadeh himself and some researchers. This theory has begun to be applied in a wide range of scientific areas. There have already been two monographs on fuzzy set theory published: a tutorial treatise in several volumes by Kaufmann (, a, b, ;.

    In many applications (e.g. fuzzy control) the class of the functions and their exact parameters have a limited influence on the results. Only local monotonicity of the functions is really necessary. In other applications Fuzzy Systems,Fuzzy Set Theory. Reflecting the advances that have taken place in the study of fuzzy set theory and fuzzy logic from to the present, this book not only details the theoretical advances in these areas, but considers a broad variety of applications of fuzzy sets and fuzzy logic as well.

    Fuzzy Sets and Fuzzy Logic Theory and Applications; Fuzzy Sets and Fuzzy Logic Theory and Applications. by Klir, George J., Yuan, Bo. by Klir, George J., Yuan, Bo. Recommend this! Marketplace Prices. 2 New from $; 8 Used from $; 12 Alternate from $; Used. Synopsis. Reflecting the advances that have taken place in the study of fuzzy set theory and fuzzy logic from to the present, this book not only details the theoretical advances in these areas, but considers a broad variety of applications of fuzzy sets and fuzzy logic as well/5(7).


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Applications of fuzzy sets and the theory of evidence to accounting Download PDF EPUB FB2

Amazon Giveaway allows you to run promotional giveaways in order to create buzz, reward your audience, and attract new followers and customers. This item: Studies in Managerial and Financial Accounting, Volume 7: Applications of Fuzzy Sets and the Theory of Evidence to Accounting II (v.

Applications of fuzzy sets and the theory of evidence to accounting. [Philip H Siegel;] Book: All Authors / Contributors: Philip H Siegel. Find more of budgetary slack in an organization - a fuzzy set approach, J.

Leavins and K. Omer; investigating cost variances - an application of fuzzy sets to accounting and financial decision making. Sep 12,  · This book, Fuzzy Set Theory: Foundations and Applications, is intended to fill a particular gap in the literature.

Its aim is to serve as a textbook for a general course in undergraduate liberal arts and sciences programs. This aim is reflected in the content of the book and the style in which it is hankins-farms.com by: Studies in Managerial and Financial Accounting: Application of Fuzzy Sets and the Theory of Evidence to Accounting v.

3 by Philip H. Siegel,available at Book Depository with free delivery worldwide. As the systems which form the fabric of modern society become more complex and more interdependent, the need for the understanding of the behavior of such systems becomes increasingly more essential.

What are the causes and possible cures for the worldwide inflation which is posing a serious threat. Part II: Applications of Fuzzy Set Theory 9 Fuzzy Logic and Approximate Reasoning Linguistic Variables Fuzzy Logic Classical Logics Revisited Linguistic Truth Tables Approximate and Plausible Reasoning Fuzzy Languages Support Logic Programming and Fril Introduction Fril Rules details the advances that have taken place in fuzzy set theory and fuzzy logic in recent years.

requires only a basic knowledge of classical (nonfuzzy) set theory, classical (two-valued) logic, and probability theory. includes all bibliographical, historical, and other side remarks in the notes that follow each individual hankins-farms.combility: Available. In set theory, an element can either belong to a set or not; and in optimization, a solution is either feasible or not.

Precision assumes that the parameters of a model represent exactly either our perception of the phenomenon modeled or the features of the real system that has been hankins-farms.com: Hans-Jürgen Zimmermann.

The book presents the basic rudiments of fuzzy set theory and fuzzy logic and their applications in a simple and easy to understand manner. It is written with a general type of reader in hankins-farms.com: Chander Mohan.

Jan 21,  · The relationships between rough set theory and other mathematical methods, such as conventional statistical methods, fuzzy sets, and evidence theory, are briefly introduced. The applications of rough set theory in Civil Engineering are discussed in structure engineering, pavement engineering, traffic engineering, transportation engineering, land management, and water resources management.

Pris: kr. Inbunden, Skickas inom vardagar. Köp Applications of Fuzzy Sets and the Theory of Evidence to Accounting av Philip H Siegel, Khursheed Omer, Marc J Epstein på hankins-farms.com The fuzzy set theory allows the representation of uncertainty and inexact information in the form of linguistic variables that have been applied to many areas.

The application of the fuzzy set theory to finance research is proposed in this hankins-farms.com by: 1. An analysis of fuzzy sets and the theory of evidence to accounting. It is divided into parts, covering: methodology; inference; prediction; and neural networks.

Captured in the book are not only theoretical advances in these areas, but a broad variety of applications of fuzzy sets and fuzzy logic as well. The primary purpose of the book is to facilitate education in the increasingly important areas of fuzzy set theory and fuzzy logic. The purpose of this paper is to present the use of fuzzy logic to improve the calculation of weighted average cost of capital (WACC).

The fuzzy WACC approach not only allows the pre-tax cost of debt, the effective tax rate, the tax benefit, and cost of equity to be treated as fuzzy numbers, it also offers ranking means to find the optimal debt hankins-farms.com by: 4. Jul 31,  · Since its inception, the theory of fuzzy sets has advanced in a variety of ways and in many disciplines.

Applications of fuzzy technology can be found in artificial intelligence, computer science, control engineering, decision theory, expert systems, logic, management science, operations research, robotics, and others/5. Nov 30,  · The primary goal of Fuzzy Set Theory - and its Applications, Fourth Edition is to provide a textbook for courses in fuzzy set theory, and a book that can be used as an introduction.

To balance the character of a textbook with the dynamic nature of this research, many useful references have been added to develop a deeper understanding for the /5(4).

Reflecting the tremendous advances that have taken place in the study of fuzzy set theory and fuzzy logic from to the present, this book not only details the theoretical advances in these areas, but considers a broad variety of applications of fuzzy sets and fuzzy logic as well.

The primary purpose of this book is to provide the reader with a comprehensive coverage of theoretical foundations of fuzzy set theory and fuzzy logic, as well as a broad overview of the increasingly important applications of these novel areas of mathematics.

Although it is written as a text for a course at the graduate or upper division undergraduate level, the book is also suitable for self 5/5(1). Nonspecificity of Crisp Sets Nonspecificity of Fuzzy Sets Fuzziness of Fuzzy Sets Uncertainty in Evidence Theory Summary of Uncertainty Measures Principles of Uncertainty \ Exercises VII PART II.

APPLICATIONS CONSTRUCTING. An analysis of fuzzy sets and the theory of evidence to accounting. It is divided into parts, covering: methodology; inference; prediction; and neural hankins-farms.com Range: $ - $The purpose of this paper is to present the use of fuzzy logic to improve the calculation of weighted average cost of capital (WACC).

The fuzzy WACC approach not only allows the pre-tax cost of debt, the effective tax rate, the tax benefit, and cost of equity to be treated as fuzzy numbers, it also offers ranking means to find the optimal debt ratio.This paper considers the application of fuzzy measures and fuzzy integrals (such as Sugeno, Grabisch, Choquet) to financial valuation.

More specifically, we show how integration with respect to a non additive measure can be used to handle positive or negative synergy in value hankins-farms.com by: 6.