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005			20240316162248.0
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008			230629s2023 si | o |||| 0|eng d
020			_a9789819906352
024	7		_a10.1007/978-981-99-0635-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aSH331.5 .M48 _b2023 EB
245	0	0	_aApplication of Gray System Theory in Fishery Science _cedited by Xinjun Chen
250			_a1st ed. 2023
264		1	_aSingapore _bSpringer Nature Singapore _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_aChapter 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			_aThis 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. .
988			_aSpringer_BiomedLife_2023
650		7	_2embne _9672293 _aPesca _xModelos matemáticos
650		7	_2embne _9141328 _aSistemas, Teoría de
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-0635-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2024 _dz _eb _zSI