東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Modeling and simulating complex busi...

Dikopoulou, Zoumpolia.

FindBook

Google Book

Amazon

博客來

Modeling and simulating complex business perceptions = using graphical models and fuzzy cognitive maps /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modeling and simulating complex business perceptions/ by Zoumpolia Dikopoulou.
其他題名:	using graphical models and fuzzy cognitive maps /
作者:	Dikopoulou, Zoumpolia.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xxv, 154 p. :ill. (some col.), digital ;24 cm.
內容註:	Chapter 1. Introduction -- Chapter 2. Data Analysis -- Chapter 3. Fuzzy Cognitive Maps -- Chapter 4. Data Modeling -- Chapter 5. Network analysis, accuracy and stability of the job-satisfaction structures -- Chapter 6. The proposed data-driven glassoFCM method -- Chapter 7. Thesis Conclusions.
Contained By:	Springer Nature eBook
標題:	Fuzzy decision making. -
電子資源:	https://doi.org/10.1007/978-3-030-81496-0
ISBN:	9783030814960

Modeling and simulating complex business perceptions = using graphical models and fuzzy cognitive maps /
Dikopoulou, Zoumpolia.

Modeling and simulating complex business perceptionsusing graphical models and fuzzy cognitive maps /[electronic resource] :by Zoumpolia Dikopoulou. - Cham :Springer International Publishing :2021. - xxv, 154 p. :ill. (some col.), digital ;24 cm. - Fuzzy management methods,2196-4149. - Fuzzy management methods..

Chapter 1. Introduction -- Chapter 2. Data Analysis -- Chapter 3. Fuzzy Cognitive Maps -- Chapter 4. Data Modeling -- Chapter 5. Network analysis, accuracy and stability of the job-satisfaction structures -- Chapter 6. The proposed data-driven glassoFCM method -- Chapter 7. Thesis Conclusions.

Fuzzy cognitive maps (FCMs) have gained popularity in the scientific community due to their capabilities in modeling and decision making for complex problems. This book presents a novel algorithm called glassoFCM to enable automatic learning of FCM models from data. Specifically, glassoFCM is a combination of two methods, glasso (a technique originated from machine learning) for data modeling and FCM simulation for decision making. The book outlines that glassoFCM elaborates simple, accurate, and more stable models that are easy to interpret and offer meaningful decisions. The research results presented are based on an investigation related to a real-world business intelligence problem to evaluate characteristics that influence employee work readiness. Finally, this book provides readers with a step-by-step guide of the 'fcm' package to execute and visualize their policies and decisions through the FCM simulation process.

ISBN: 9783030814960

Standard No.: 10.1007/978-3-030-81496-0doiSubjects--Topical Terms:

814748
Fuzzy decision making.

LC Class. No.: QA279.6 / .D55 2021

Dewey Class. No.: 519.542

Modeling and simulating complex business perceptions = using graphical models and fuzzy cognitive maps /
LDR:02356nmm 22003495a 4500 001 2258668
003 DE-He213
005 20211106163140.0
006 m d
007 cr nn 008maaau
008 220422s2021 sz s 0 eng d
020 $a 9783030814960 $q (electronic bk.)
020 $a 9783030814953 $q (paper)
024 7 $a 10.1007/978-3-030-81496-0 $2 doi
035 $a 978-3-030-81496-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA279.6 $b .D55 2021
072 7 $a KJQ $2 bicssc
072 7 $a BUS083000 $2 bisacsh
072 7 $a KJQ $2 thema
072 7 $a UF $2 thema
082 0 4 $a 519.542 $2 23
090 $a QA279.6 $b .D575 2021
100 1 $a Dikopoulou, Zoumpolia. $3 3531356
245 1 0 $a Modeling and simulating complex business perceptions $h [electronic resource] : $b using graphical models and fuzzy cognitive maps / $c by Zoumpolia Dikopoulou.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xxv, 154 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Fuzzy management methods, $x 2196-4149
505 0 $a Chapter 1. Introduction -- Chapter 2. Data Analysis -- Chapter 3. Fuzzy Cognitive Maps -- Chapter 4. Data Modeling -- Chapter 5. Network analysis, accuracy and stability of the job-satisfaction structures -- Chapter 6. The proposed data-driven glassoFCM method -- Chapter 7. Thesis Conclusions.
520 $a Fuzzy cognitive maps (FCMs) have gained popularity in the scientific community due to their capabilities in modeling and decision making for complex problems. This book presents a novel algorithm called glassoFCM to enable automatic learning of FCM models from data. Specifically, glassoFCM is a combination of two methods, glasso (a technique originated from machine learning) for data modeling and FCM simulation for decision making. The book outlines that glassoFCM elaborates simple, accurate, and more stable models that are easy to interpret and offer meaningful decisions. The research results presented are based on an investigation related to a real-world business intelligence problem to evaluate characteristics that influence employee work readiness. Finally, this book provides readers with a step-by-step guide of the 'fcm' package to execute and visualize their policies and decisions through the FCM simulation process.
650 0 $a Fuzzy decision making. $3 814748
650 1 4 $a IT in Business. $3 2114922
650 2 4 $a Probability and Statistics in Computer Science. $3 891072
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
650 2 4 $a Mathematical Models of Cognitive Processes and Neural Networks. $3 1619875
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Fuzzy management methods. $3 2058572
856 4 0 $u https://doi.org/10.1007/978-3-030-81496-0
950 $a Business and Management (SpringerNature-41169)