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

Mixed intelligent systems = developi...

Grzeszczyk, Tadeusz A.

FindBook

Google Book

Amazon

博客來

Mixed intelligent systems = developing models for project management and evaluation /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Mixed intelligent systems/ by Tadeusz A. Grzeszczyk.
其他題名:	developing models for project management and evaluation /
作者:	Grzeszczyk, Tadeusz A.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	ix, 123 p. :ill., digital ;24 cm.
內容註:	1 Introduction -- 2 Basic Aspects Related to Project Evaluation -- 3 Quantitative Evaluation Methods -- 4 Qualitative Evaluation Methods -- 5 Principles of Integrated Evaluation Systems -- 6 Modeling Mixed Intelligent Systems -- 7 Summary.
Contained By:	Springer eBooks
標題:	Project management - Evaluation. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-91158-8
ISBN:	9783319911588

Mixed intelligent systems = developing models for project management and evaluation /
Grzeszczyk, Tadeusz A.

Mixed intelligent systemsdeveloping models for project management and evaluation /[electronic resource] :by Tadeusz A. Grzeszczyk. - Cham :Springer International Publishing :2018. - ix, 123 p. :ill., digital ;24 cm.

1 Introduction -- 2 Basic Aspects Related to Project Evaluation -- 3 Quantitative Evaluation Methods -- 4 Qualitative Evaluation Methods -- 5 Principles of Integrated Evaluation Systems -- 6 Modeling Mixed Intelligent Systems -- 7 Summary.

Correctly functioning evaluation systems directly influence the efficient and effective planning and implementation of projects and the achievement of organisational objectives. This book critically analyses the results of research dedicated to mixed intelligent systems for project evaluation, taking into account the current state of knowledge in the field of project management. It argues for the need to move away from classical concepts and deploy interdisciplinary research methods in the development of comprehensive project evaluation systems. Considering contemporary issues relating to project evaluation, the author deals with both quantitative and qualitative evaluation methods and the problems surrounding systems that integrate them, before discussing the process of modelling mixed intelligent systems. Mixed Intelligent Systems makes a thought-provoking case for harnessing interdisciplinary methods and new ideas in project management research when developing evaluation systems.

ISBN: 9783319911588

Standard No.: 10.1007/978-3-319-91158-8doiSubjects--Topical Terms:

609964
Project management
--Evaluation.

LC Class. No.: HD69.P75 / G794 2018

Dewey Class. No.: 658.404

Mixed intelligent systems = developing models for project management and evaluation /
LDR:02218nmm a2200313 a 4500 001 2145841
003 DE-He213
005 20181116155634.0
006 m d
007 cr nn 008maaau
008 190227s2018 gw s 0 eng d
020 $a 9783319911588 $q (electronic bk.)
020 $a 9783319911571 $q (paper)
024 7 $a 10.1007/978-3-319-91158-8 $2 doi
035 $a 978-3-319-91158-8
040 $a GP $c GP
041 0 $a eng
050 4 $a HD69.P75 $b G794 2018
072 7 $a KJMP $2 bicssc
072 7 $a BUS041000 $2 bisacsh
082 0 4 $a 658.404 $2 23
090 $a HD69.P75 $b G895 2018
100 1 $a Grzeszczyk, Tadeusz A. $3 3331823
245 1 0 $a Mixed intelligent systems $h [electronic resource] : $b developing models for project management and evaluation / $c by Tadeusz A. Grzeszczyk.
260 $a Cham : $b Springer International Publishing : $b Imprint: Palgrave Pivot, $c 2018.
300 $a ix, 123 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1 Introduction -- 2 Basic Aspects Related to Project Evaluation -- 3 Quantitative Evaluation Methods -- 4 Qualitative Evaluation Methods -- 5 Principles of Integrated Evaluation Systems -- 6 Modeling Mixed Intelligent Systems -- 7 Summary.
520 $a Correctly functioning evaluation systems directly influence the efficient and effective planning and implementation of projects and the achievement of organisational objectives. This book critically analyses the results of research dedicated to mixed intelligent systems for project evaluation, taking into account the current state of knowledge in the field of project management. It argues for the need to move away from classical concepts and deploy interdisciplinary research methods in the development of comprehensive project evaluation systems. Considering contemporary issues relating to project evaluation, the author deals with both quantitative and qualitative evaluation methods and the problems surrounding systems that integrate them, before discussing the process of modelling mixed intelligent systems. Mixed Intelligent Systems makes a thought-provoking case for harnessing interdisciplinary methods and new ideas in project management research when developing evaluation systems.
650 0 $a Project management $x Evaluation. $3 609964
650 1 4 $a Business and Management. $2 eflch $3 1485455
650 2 4 $a Project Management. $3 1567596
650 2 4 $a Business Information Systems. $3 892640
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-91158-8
950 $a Business and Management (Springer-41169)