東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Fuzzy logic-based software systems

Chrysafiadi, Konstantina.

Linked to FindBook

Google Book

Amazon

博客來

Fuzzy logic-based software systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Fuzzy logic-based software systems/ by Konstantina Chrysafiadi.
Author:	Chrysafiadi, Konstantina.
Published:	Cham :Springer International Publishing : : 2023.,
Description:	xiv, 177 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1: Fuzzy Logic -- Chapter 2: The role of Fuzzy Logic in Artificial Intelligence and smart applications -- Chapter 3: Fuzzy-based software systems -- Chapter 4: Comparative discussion -- Chapter 5: Conclusions and Discussion.
Contained By:	Springer Nature eBook
Subject:	Software architecture. -
Online resource:	https://doi.org/10.1007/978-3-031-44457-9
ISBN:	9783031444579

Fuzzy logic-based software systems
Chrysafiadi, Konstantina.

Fuzzy logic-based software systems[electronic resource] /by Konstantina Chrysafiadi. - Cham :Springer International Publishing :2023. - xiv, 177 p. :ill., digital ;24 cm. - Learning and analytics in intelligent systems,v. 342662-3455 ;. - Learning and analytics in intelligent systems ;v. 34..

Chapter 1: Fuzzy Logic -- Chapter 2: The role of Fuzzy Logic in Artificial Intelligence and smart applications -- Chapter 3: Fuzzy-based software systems -- Chapter 4: Comparative discussion -- Chapter 5: Conclusions and Discussion.

This book aims to provide information about significant advances of Fuzzy Logic in software systems to researchers, scientists, educators, students, software engineers and developers. In particular, this book explains how Fuzzy Logic, can be used in software systems to automatically predict, model, decide, diagnose, recommend etc. In more details, Fuzzy Logic is an artificial intelligent technique that is ideal for successfully addressing, the uncertainty, imprecision and vagueness that exist in many diverse scientific and technological areas. It was introduced by Lotfi A. Zadeh of the University of California at Berkeley, as a methodology for computing with words. This ability of Fuzzy Logic allows the representation of imprecise and vague data in a more realistic way. Therefore, Fuzzy Logic-based systems can simulate the human reasoning and decision-making processes, addressing the human subjectivity. Fuzzy Logic-based software systems are referred to any software that concerns an automated program or process that is used in everyday life, like heating or air-conditioning system, or in the scientific world, like a medical diagnostic system, which uses Fuzzy Logic in order to perform reasoning. A Fuzzy Logic-based system consists of three basic modules: Fuzzifier, Inference Engine and Defuzzifier. The Fuzzifier accepts as input numerical data and assigns them to fuzzy sets with some degree of membership, converting crisp data to fuzzy sets. The Inference Engine applies fuzzy rules over the defined fuzzy sets and produces outputs based on linguistic information. The Defuzzifier, converts fuzzy values into crisp values. The use of Fuzzy Logic in software systems constitutes a compelling and active research area in recent years, especially due to the increased interest in artificial intelligence. In the view of the above, this book presents thoroughly the Fuzzy Logic theory and the structure and operation of a Fuzzy Logic-based system. It also explains the role of Fuzzy Logic in artificial intelligence and smart applications, presenting how it can improve the efficiency and effectiveness of automatic processes and tasks. Furthermore, the book describes techniques of artificial intelligence with which the fuzzy logic is combined and how. Furthermore, this book presents several Fuzzy Logic-based software systems in the discipline of medicine, education, decision making and recommendation, natural language processing, automotive engineering and industry, heating, ventilation and air-conditioning, navigation, scheduling, network traffic and security. Thereby, this book can provide deep insights and valuable information not only to readers of computer science-related disciplines, but also to readers, who come from a variety of disciplines and are interesting in systems that perform tasks related to their discipline, in a more efficient way.

ISBN: 9783031444579

Standard No.: 10.1007/978-3-031-44457-9doiSubjects--Topical Terms:

779138
Software architecture.

LC Class. No.: QA76.754 / .C49 2023

Dewey Class. No.: 005.12

Fuzzy logic-based software systems
LDR:04185nmm a2200337 a 4500 001 2335492
003 DE-He213
005 20231015194737.0
006 m d
007 cr nn 008maaau
008 240402s2023 sz s 0 eng d
020 $a 9783031444579 $q (electronic bk.)
020 $a 9783031444562 $q (paper)
024 7 $a 10.1007/978-3-031-44457-9 $2 doi
035 $a 978-3-031-44457-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.754 $b .C49 2023
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 005.12 $2 23
090 $a QA76.754 $b .C558 2023
100 1 $a Chrysafiadi, Konstantina. $3 2131924
245 1 0 $a Fuzzy logic-based software systems $h [electronic resource] / $c by Konstantina Chrysafiadi.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a xiv, 177 p. : $b ill., digital ; $c 24 cm.
490 1 $a Learning and analytics in intelligent systems, $x 2662-3455 ; $v v. 34
505 0 $a Chapter 1: Fuzzy Logic -- Chapter 2: The role of Fuzzy Logic in Artificial Intelligence and smart applications -- Chapter 3: Fuzzy-based software systems -- Chapter 4: Comparative discussion -- Chapter 5: Conclusions and Discussion.
520 $a This book aims to provide information about significant advances of Fuzzy Logic in software systems to researchers, scientists, educators, students, software engineers and developers. In particular, this book explains how Fuzzy Logic, can be used in software systems to automatically predict, model, decide, diagnose, recommend etc. In more details, Fuzzy Logic is an artificial intelligent technique that is ideal for successfully addressing, the uncertainty, imprecision and vagueness that exist in many diverse scientific and technological areas. It was introduced by Lotfi A. Zadeh of the University of California at Berkeley, as a methodology for computing with words. This ability of Fuzzy Logic allows the representation of imprecise and vague data in a more realistic way. Therefore, Fuzzy Logic-based systems can simulate the human reasoning and decision-making processes, addressing the human subjectivity. Fuzzy Logic-based software systems are referred to any software that concerns an automated program or process that is used in everyday life, like heating or air-conditioning system, or in the scientific world, like a medical diagnostic system, which uses Fuzzy Logic in order to perform reasoning. A Fuzzy Logic-based system consists of three basic modules: Fuzzifier, Inference Engine and Defuzzifier. The Fuzzifier accepts as input numerical data and assigns them to fuzzy sets with some degree of membership, converting crisp data to fuzzy sets. The Inference Engine applies fuzzy rules over the defined fuzzy sets and produces outputs based on linguistic information. The Defuzzifier, converts fuzzy values into crisp values. The use of Fuzzy Logic in software systems constitutes a compelling and active research area in recent years, especially due to the increased interest in artificial intelligence. In the view of the above, this book presents thoroughly the Fuzzy Logic theory and the structure and operation of a Fuzzy Logic-based system. It also explains the role of Fuzzy Logic in artificial intelligence and smart applications, presenting how it can improve the efficiency and effectiveness of automatic processes and tasks. Furthermore, the book describes techniques of artificial intelligence with which the fuzzy logic is combined and how. Furthermore, this book presents several Fuzzy Logic-based software systems in the discipline of medicine, education, decision making and recommendation, natural language processing, automotive engineering and industry, heating, ventilation and air-conditioning, navigation, scheduling, network traffic and security. Thereby, this book can provide deep insights and valuable information not only to readers of computer science-related disciplines, but also to readers, who come from a variety of disciplines and are interesting in systems that perform tasks related to their discipline, in a more efficient way.
650 0 $a Software architecture. $3 779138
650 0 $a Fuzzy logic $v Software. $3 3667931
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Learning and analytics in intelligent systems ; $v v. 34. $3 3667930
856 4 0 $u https://doi.org/10.1007/978-3-031-44457-9
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)