Application Of Gray System Theory In Fishery Science
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Application of Gray System Theory in Fishery Science
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.
Application of Gray System Theory in Fishery Science
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. .
Strategy Analytics for Business Resilience Theories and Practices
A strategy is a blueprint of actions taken by managers to achieve the organization’s mission and vision and other long-term goals. In long term, strategy determines the success of an organization. While evaluating strategy, a company is essentially asking itself, “Where we are heading to and how we will achieve our goals?” Strategy Analytics is a relatively new field in conjunction with Strategic Management and Business Intelligence. Generally, Strategic Management field deals with the enhancement of the decision-making capabilities of managers. Typically, such decision-making processes are heavily dependent upon various internal and external reports. Managers need to develop their strategies using clear strategy processes supported by the increasing availability of data. This situation calls for a different approach to strategy, such as integration with analytics, as the science of extracting value from data and structuring complex problems. The term Strategic Analytics implies decisions are made, resources are invested, and plans for data and analytics are created based on the needs and critical questions a business is facing. The need for analytical solutions in today’s business environment is crucial because they allow users to think strategically about how an organization builds its core competencies and creates value. This not only informs the entire process, saves a lot of time, effort, and money, but also leads to value creation. This book will be one reference source to academic fraternity, management practitioners, business analysts and research students who are interesting in Strategic Analytics domain and using it in their research/practice work. In addition, the proposed book will be serving as state-of-art documentation of Strategy Analytics, its present role around organizational outcomes and outlines the need for greater integration in organization strategy and analytics for better strategic decision processes to measure corporate performance and business value creation. Distinguished Features of the proposed book State-of-art documentation of Strategy Analytics for Business Resilience and their applications for all levels of managerial positions. Excellent reference material for academic scientists, researcher and research scholars working in modern Strategy Analytics and Information Systems. This book will showcase the recent innovations, trends, and concerns as well as applied challenges encountered, and solutions adopted in the fields of Strategy Analytics