國立虎尾科技大學 |

Application of gray system theory in fishery science

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Application of gray system theory in fishery science/ edited by Xinjun Chen.
其他作者:	Chen, Xinjun.
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	vii, 196 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Mathematical Applications in Computer Science. -
電子資源:	https://doi.org/10.1007/978-981-99-0635-2
ISBN:	9789819906352

Application of gray system theory in fishery science
Application of gray system theory in fishery science[electronic resource] /edited by Xinjun Chen. - Singapore :Springer Nature Singapore :2023. - vii, 196 p. :ill., digital ;24 cm.

Chapter 1 Introduction -- Chapter 2 Processing method of the original data -- Chapter 3 Grey correlation analysis -- Chapter 4 Grey Clustering Analysis -- Chapter 5 Grey System Modeling -- Chapter 6 Grey Prediction -- Chapter 7 Grey decision-making -- Chapter 8 Grey Linear Programming -- Chapter 9 Grey Dynamic Control.

This book reviews the gray system and combines its latest research results in fishery science. The chapters cover the basic concept and theory of gray system, original data processing and gray sequence generation, gray correlation analysis, gray cluster analysis, gray system modeling, gray prediction, gray decision-making, and gray linear programming. The theory of gray system is a new cross-sectional discipline founded in 1982 by Professor Deng Julong, a well-known scholar in China. In recent decades, it has not only been deepened and expanded in theory but also widely used in the fields of society, economy, ocean, agriculture, fishery, and other fields, and made a series of significant scientific achievements. These have laid the foundation for the important position of the gray system theory. Due to the great uncertainty of the fishery resources and the fishery environment involved in the fishery science system, which is completely different from the natural resources on the land, the data and information belong to the category of "poor information", and the variability and uncertainty are greater than other natural resources. As an extremely effective analytical method and tool, gray system theory has been applied increasingly in fishery science. The book is developed based on well-read and practical literature and will help scientists and research units engaged in scientific research and teaching in fishery science and related fields to develop new research methods and tools.

ISBN: 9789819906352

Standard No.: 10.1007/978-981-99-0635-2doiSubjects--Topical Terms:

815331
Mathematical Applications in Computer Science.

LC Class. No.: SH331 / .A56 2023

Dewey Class. No.: 639.2

Application of gray system theory in fishery science
LDR:02814nam a2200325 a 4500 001 1105592
003 DE-He213
005 20230629100325.0
006 m d
007 cr nn 008maaau
008 231013s2023 si s 0 eng d
020 $a 9789819906352 $q (electronic bk.)
020 $a 9789819906345 $q (paper)
024 7 $a 10.1007/978-981-99-0635-2 $2 doi
035 $a 978-981-99-0635-2
040 $a GP $c GP
041 0 $a eng
050 4 $a SH331 $b .A56 2023
072 7 $a PSAF $2 bicssc
072 7 $a SCI020000 $2 bisacsh
072 7 $a PSAF $2 thema
082 0 4 $a 639.2 $2 23
090 $a SH331 $b .A652 2023
245 1 0 $a Application of gray system theory in fishery science $h [electronic resource] / $c edited by Xinjun Chen.
260 $a Singapore : $c 2023. $b Springer Nature Singapore : $b Imprint: Springer,
300 $a vii, 196 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1 Introduction -- Chapter 2 Processing method of the original data -- Chapter 3 Grey correlation analysis -- Chapter 4 Grey Clustering Analysis -- Chapter 5 Grey System Modeling -- Chapter 6 Grey Prediction -- Chapter 7 Grey decision-making -- Chapter 8 Grey Linear Programming -- Chapter 9 Grey Dynamic Control.
520 $a This book reviews the gray system and combines its latest research results in fishery science. The chapters cover the basic concept and theory of gray system, original data processing and gray sequence generation, gray correlation analysis, gray cluster analysis, gray system modeling, gray prediction, gray decision-making, and gray linear programming. The theory of gray system is a new cross-sectional discipline founded in 1982 by Professor Deng Julong, a well-known scholar in China. In recent decades, it has not only been deepened and expanded in theory but also widely used in the fields of society, economy, ocean, agriculture, fishery, and other fields, and made a series of significant scientific achievements. These have laid the foundation for the important position of the gray system theory. Due to the great uncertainty of the fishery resources and the fishery environment involved in the fishery science system, which is completely different from the natural resources on the land, the data and information belong to the category of "poor information", and the variability and uncertainty are greater than other natural resources. As an extremely effective analytical method and tool, gray system theory has been applied increasingly in fishery science. The book is developed based on well-read and practical literature and will help scientists and research units engaged in scientific research and teaching in fishery science and related fields to develop new research methods and tools.
650 2 4 $a Mathematical Applications in Computer Science. $3 815331
650 2 4 $a Computer Modelling. $3 1365730
650 1 4 $a Freshwater and Marine Ecology. $3 1365726
650 0 $a System theory. $3 566168
650 0 $a Fishery sciences. $3 905532
700 1 $a Chen, Xinjun. $e editor. $3 1315434
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-99-0635-2
950 $a Biomedical and Life Sciences (SpringerNature-11642)