國立虎尾科技大學 |

Computational Intelligence for Business Analytics

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Computational Intelligence for Business Analytics/ edited by Witold Pedrycz, Luis Martínez, Rafael Alejandro Espin-Andrade, Gilberto Rivera, Jorge Marx Gómez.
其他作者:	Pedrycz, Witold.
面頁冊數:	IX, 423 p. 147 illus., 92 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-3-030-73819-8
ISBN:	9783030738198

Computational Intelligence for Business Analytics
Computational Intelligence for Business Analytics[electronic resource] /edited by Witold Pedrycz, Luis Martínez, Rafael Alejandro Espin-Andrade, Gilberto Rivera, Jorge Marx Gómez. - 1st ed. 2021. - IX, 423 p. 147 illus., 92 illus. in color.online resource. - Studies in Computational Intelligence,9531860-9503 ;. - Studies in Computational Intelligence,564.

Multi-criteria method for evaluating the impact of informal trade on the Mariscal de Puyo market -- Multicriteria Analysis for LPWAN selection for Industry 4.0 based on TOPSIS and a model of Proportionality -- Comprehensive Minimum Cost Models Based on Consensus Measures -- Strategies for the Development and Success of Women Entrepreneurs through SWOT Analysis and Compensatory Fuzzy Logic -- Fuzzy logic-based approaches in supply chain risk management: a review.

Corporate success has been changed by the importance of new developments in Business Analytics (BA) and furthermore by the support of computational intelligence- based techniques. This book opens a new avenues in these subjects, identifies key developments and opportunities. The book will be of interest for students, researchers and professionals to identify innovative ways delivered by Business Analytics based on computational intelligence solutions. They help elicit information, handle knowledge and support decision-making for more informed and reliable decisions even under high uncertainty environments. Computational Intelligence for Business Analytics has collected the latest technological innovations in the field of BA to improve business models related to Group Decision-Making, Forecasting, Risk Management, Knowledge Discovery, Data Breach Detection, Social Well-Being, among other key topics related to this field.

ISBN: 9783030738198

Standard No.: 10.1007/978-3-030-73819-8doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Computational Intelligence for Business Analytics
LDR:02937nam a22004095i 4500 001 1056668
003 DE-He213
005 20211026170619.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030738198 $9 978-3-030-73819-8
024 7 $a 10.1007/978-3-030-73819-8 $2 doi
035 $a 978-3-030-73819-8
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Computational Intelligence for Business Analytics $h [electronic resource] / $c edited by Witold Pedrycz, Luis Martínez, Rafael Alejandro Espin-Andrade, Gilberto Rivera, Jorge Marx Gómez.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a IX, 423 p. 147 illus., 92 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Studies in Computational Intelligence, $x 1860-9503 ; $v 953
505 0 $a Multi-criteria method for evaluating the impact of informal trade on the Mariscal de Puyo market -- Multicriteria Analysis for LPWAN selection for Industry 4.0 based on TOPSIS and a model of Proportionality -- Comprehensive Minimum Cost Models Based on Consensus Measures -- Strategies for the Development and Success of Women Entrepreneurs through SWOT Analysis and Compensatory Fuzzy Logic -- Fuzzy logic-based approaches in supply chain risk management: a review.
520 $a Corporate success has been changed by the importance of new developments in Business Analytics (BA) and furthermore by the support of computational intelligence- based techniques. This book opens a new avenues in these subjects, identifies key developments and opportunities. The book will be of interest for students, researchers and professionals to identify innovative ways delivered by Business Analytics based on computational intelligence solutions. They help elicit information, handle knowledge and support decision-making for more informed and reliable decisions even under high uncertainty environments. Computational Intelligence for Business Analytics has collected the latest technological innovations in the field of BA to improve business models related to Group Decision-Making, Forecasting, Risk Management, Knowledge Discovery, Data Breach Detection, Social Well-Being, among other key topics related to this field.
650 0 $a Computational intelligence. $3 568984
650 0 $a Artificial intelligence. $3 559380
650 0 $a Business mathematics. $3 557696
650 0 $a Big data. $3 981821
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Business Mathematics. $3 1063156
650 2 4 $a Big Data/Analytics. $3 1106909
700 1 $a Pedrycz, Witold. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 678017
700 1 $a Martínez, Luis. $e author. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1265626
700 1 $a Espin-Andrade, Rafael Alejandro. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1362022
700 1 $a Rivera, Gilberto. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1340891
700 1 $a Marx Gómez, Jorge. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1267051
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030738181
776 0 8 $i Printed edition: $z 9783030738204
776 0 8 $i Printed edition: $z 9783030738211
830 0 $a Studies in Computational Intelligence, $x 1860-949X ; $v 564 $3 1253640
856 4 0 $u https://doi.org/10.1007/978-3-030-73819-8
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)