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001470280 001__ 1470280
001470280 003__ OCoLC
001470280 005__ 20230803003410.0
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001470280 008__ 230713s2023\\\\si\\\\\\ob\\\\000\0\eng\d
001470280 019__ $$a1388633920$$a1389613977
001470280 020__ $$a9789819906352$$qelectronic book
001470280 020__ $$a9819906350$$qelectronic book
001470280 020__ $$z9819906342
001470280 020__ $$z9789819906345
001470280 0247_ $$a10.1007/978-981-99-0635-2$$2doi
001470280 035__ $$aSP(OCoLC)1390403521
001470280 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP
001470280 049__ $$aISEA
001470280 050_4 $$aSH331$$b.A56 2023
001470280 08204 $$a639.2$$223/eng/20230713
001470280 24500 $$aApplication of grey system theory in fishery science /$$cXinjun Chen, editor.
001470280 264_1 $$aSingapore :$$bSpringer,$$c[2023]
001470280 300__ $$a1 online resource (175 pages) :$$billustrations (black and white, and color).
001470280 336__ $$atext$$btxt$$2rdacontent
001470280 337__ $$acomputer$$bc$$2rdamedia
001470280 338__ $$aonline resource$$bcr$$2rdacarrier
001470280 504__ $$aIncludes bibliographical references.
001470280 5050_ $$aChapter 1 Introduction -- Chapter 2 Processing method of the original data -- Chapter 3 Grey correlation analysis -- Chapter 4 Grey Clustering Analysis -- Chapter 5 Grey System Modeling -- Chapter 6 Grey Prediction -- Chapter 7 Grey decision-making -- Chapter 8 Grey Linear Programming -- Chapter 9 Grey Dynamic Control.
001470280 506__ $$aAccess limited to authorized users.
001470280 520__ $$aThis book reviews the gray system and combines its latest research results in fishery science. The chapters cover the basic concept and theory of gray system, original data processing and gray sequence generation, gray correlation analysis, gray cluster analysis, gray system modeling, gray prediction, gray decision-making, and gray linear programming. The theory of gray system is a new cross-sectional discipline founded in 1982 by Professor Deng Julong, a well-known scholar in China. In recent decades, it has not only been deepened and expanded in theory but also widely used in the fields of society, economy, ocean, agriculture, fishery, and other fields, and made a series of significant scientific achievements. These have laid the foundation for the important position of the gray system theory. Due to the great uncertainty of the fishery resources and the fishery environment involved in the fishery science system, which is completely different from the natural resources on the land, the data and information belong to the category of poor information, and the variability and uncertainty are greater than other natural resources. As an extremely effective analytical method and tool, gray system theory has been applied increasingly in fishery science. The book is developed based on well-read and practical literature and will help scientists and research units engaged in scientific research and teaching in fishery science and related fields to develop new research methods and tools. .
001470280 588__ $$aDescription based on online resource; title from digital title page (viewed on July 13, 2023).
001470280 650_0 $$aFishery sciences.
001470280 650_0 $$aSystem theory.
001470280 655_0 $$aElectronic books.
001470280 7001_ $$aChen, Xinjun,$$d1967-$$eeditor.
001470280 77608 $$iPrint version:$$tAPPLICATION OF GREY SYSTEM THEORY IN FISHERY SCIENCE.$$d[Place of publication not identified] : SPRINGER, 2023$$z9819906342$$w(OCoLC)1366124687
001470280 852__ $$bebk
001470280 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-0635-2$$zOnline Access$$91397441.1
001470280 909CO $$ooai:library.usi.edu:1470280$$pGLOBAL_SET
001470280 980__ $$aBIB
001470280 980__ $$aEBOOK
001470280 982__ $$aEbook
001470280 983__ $$aOnline
001470280 994__ $$a92$$bISE