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Application of Gray System Theory in Fishery Science

Editat de Xinjun Chen
en Limba Engleză Hardback – 30 iun 2023
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 onthe 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. 
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Specificații

ISBN-13: 9789819906345
ISBN-10: 9819906342
Pagini: 196
Ilustrații: VII, 196 p. 1 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.23 kg
Ediția:2023
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore

Cuprins

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.

Notă biografică

Xinjun Chen, Professor, doctoral tutor, Dean of College of Marine Sciences, Shanghai Ocean University. He is also director of the National Ocean Fisheries Engineering and Technology Research Center, director of the Key Laboratory of the Ministry of Education for the Sustainable Development of Ocean Fisheries Resources and head of the squid fishing technology group of the China Ocean Fisheries Association. He also serves as a member of the Fisheries Group of the Sixth and Seventh Subject Review Group of the Academic Degrees Committee of the State Council and an associate Editor of the Canadian Journal of Fisher and Aquatic Sciences, the editorial board of the Journal of Oceanology and Limnology, and board of Aquaculture and Fishery. A total of more than 800 papers were published, including the application of theory and the method of grey system into the fishery sciences.


Caracteristici

Introduces methods of grey system as the basic models of fisheries forecasting Describes grey system theory in detail in helping the understanding of relevant theories of fisheries forecasting Presents the development of fisheries forecasting based on the new technology such as AI