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Imprecision and uncertainty in information representation and processing: new tools based on intuitionistic fuzzy sets and generalized nets

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@book{27400501a669466283df2497c62602c6,
title = "Imprecision and uncertainty in information representation and processing: new tools based on intuitionistic fuzzy sets and generalized nets",
abstract = "The book offers a comprehensive and timely overview of advanced mathematical tools for both uncertainty analysis and modeling of parallel processes, with a special emphasis on intuitionistic fuzzy sets and generalized nets. The different chapters, written by active researchers in their respective areas, are structured to provide a coherent picture of this interdisciplinary yet still evolving field of science. They describe key tools and give practical insights into and research perspectives on the use of Atanassov's intuitionistic fuzzy sets and logic, and generalized nets for describing and dealing with uncertainty in different areas of science, technology and business, in a single, to date unique book. Here, readers find theoretical chapters, dealing with intuitionistic fuzzy operators, membership functions and algorithms, among other topics, as well as application-oriented chapters, reporting on the implementation of methods and relevant case studies in management science, the IT industry, medicine and/or education. With this book, the editors wish to pay homage to Professor Krassimir Todorov Atanassov for his pioneering work on both generalized nets and intuitionistic fuzzy set.",
keywords = "fuzzy, uncertainty, Information processing ",
editor = "Angelov, {Plamen Parvanov} and Sotir Sotirov",
year = "2016",
month = jan,
doi = "10.1007/978-3-319-26302-1",
language = "English",
isbn = "9783319263014",
publisher = "Springer",

}

RIS

TY - BOOK

T1 - Imprecision and uncertainty in information representation and processing

T2 - new tools based on intuitionistic fuzzy sets and generalized nets

A2 - Angelov, Plamen Parvanov

A2 - Sotirov, Sotir

PY - 2016/1

Y1 - 2016/1

N2 - The book offers a comprehensive and timely overview of advanced mathematical tools for both uncertainty analysis and modeling of parallel processes, with a special emphasis on intuitionistic fuzzy sets and generalized nets. The different chapters, written by active researchers in their respective areas, are structured to provide a coherent picture of this interdisciplinary yet still evolving field of science. They describe key tools and give practical insights into and research perspectives on the use of Atanassov's intuitionistic fuzzy sets and logic, and generalized nets for describing and dealing with uncertainty in different areas of science, technology and business, in a single, to date unique book. Here, readers find theoretical chapters, dealing with intuitionistic fuzzy operators, membership functions and algorithms, among other topics, as well as application-oriented chapters, reporting on the implementation of methods and relevant case studies in management science, the IT industry, medicine and/or education. With this book, the editors wish to pay homage to Professor Krassimir Todorov Atanassov for his pioneering work on both generalized nets and intuitionistic fuzzy set.

AB - The book offers a comprehensive and timely overview of advanced mathematical tools for both uncertainty analysis and modeling of parallel processes, with a special emphasis on intuitionistic fuzzy sets and generalized nets. The different chapters, written by active researchers in their respective areas, are structured to provide a coherent picture of this interdisciplinary yet still evolving field of science. They describe key tools and give practical insights into and research perspectives on the use of Atanassov's intuitionistic fuzzy sets and logic, and generalized nets for describing and dealing with uncertainty in different areas of science, technology and business, in a single, to date unique book. Here, readers find theoretical chapters, dealing with intuitionistic fuzzy operators, membership functions and algorithms, among other topics, as well as application-oriented chapters, reporting on the implementation of methods and relevant case studies in management science, the IT industry, medicine and/or education. With this book, the editors wish to pay homage to Professor Krassimir Todorov Atanassov for his pioneering work on both generalized nets and intuitionistic fuzzy set.

KW - fuzzy

KW - uncertainty

KW - Information processing

U2 - 10.1007/978-3-319-26302-1

DO - 10.1007/978-3-319-26302-1

M3 - Book

SN - 9783319263014

BT - Imprecision and uncertainty in information representation and processing

PB - Springer

ER -