Decision Making Models for Aquaculture Farming Development
- 0 %
Der Artikel wird am Ende des Bestellprozesses zum Download zur Verfügung gestellt.

Decision Making Models for Aquaculture Farming Development

Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9789354140945
Veröffentl:
2012
Seiten:
257
Autor:
P. Mahslakshmi
eBook Typ:
EPUB
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung:

Currently, Decision Making Models for Aquaculture Farming Development has 7 chapters. Chapter 1 titled ';Introduction' provides a rationale for studying about and understanding decision making process and it explains framework for categorizing decision making process. Also the chapter explains multi criteria decision making and motivation of the study. Chapter 2 covers the review of the literature that provided the information about the techniques adopted and results obtained by the earlier researchers who worked in this line. This gives an immense help to the researcher in planning and execution of the research. The key for building decision making model is to understand the presentation of the proposed research framework and the explanation of required information for the development of models. Chapter 3, titled ';Architecture and framework', explains the fundamental including selection of variables, selection of study areas, selection of respondents, and method of data collection. Chapter 4, titled ';MTS based decision method for screening of prime set of variables for aquaculture farming development' describes the concepts, method and application of MTS in aquaculture system. Chapter 5, ';Decision making model for identification of optimal location for aquaculture farming development', provides model framework and its implementation as a tool called DMTIOLA (Decision Making Tool for Identification of Optimal Location in Aqua farming development). Chapter 6 titled ';Fuzzy rule-based decision making model for classification of aquaculture farms' presents fuzzy model for classification of aquaculture farms into one of the three classes namely suitable, moderate or unsuitable. The chapter also contains the implementation and validation of the fuzzy model. The concluding chapter of Decision Making Models for Aquaculture Farming Development titled ';Conclusions and future work' summaries the major findings and recommendations for future study for researchers and aquaculture professionals. The book also contains appendices A through E, which provides the required supplementary information for the development of decision making models in aquaculture.

Currently, Decision Making Models for Aquaculture Farming Development has 7 chapters. Chapter 1 titled “Introduction” provides a rationale for studying about and understanding decision making process and it explains framework for categorizing decision making process. Also the chapter explains multi criteria decision making and motivation of the study. Chapter 2 covers the review of the literature that provided the information about the techniques adopted and results obtained by the earlier researchers who worked in this line. This gives an immense help to the researcher in planning and execution of the research. The key for building decision making model is to understand the presentation of the proposed research framework and the explanation of required information for the development of models. Chapter 3, titled “Architecture and framework”, explains the fundamental including selection of variables, selection of study areas, selection of respondents, and method of data collection. Chapter 4, titled “MTS based decision method for screening of prime set of variables for aquaculture farming development” describes the concepts, method and application of MTS in aquaculture system. Chapter 5, “Decision making model for identification of optimal location for aquaculture farming development”, provides model framework and its implementation as a tool called DMTIOLA (Decision Making Tool for Identification of Optimal Location in Aqua farming development). Chapter 6 titled “Fuzzy rule-based decision making model for classification of aquaculture farms” presents fuzzy model for classification of aquaculture farms into one of the three classes namely suitable, moderate or unsuitable. The chapter also contains the implementation and validation of the fuzzy model. The concluding chapter of Decision Making Models for Aquaculture Farming Development titled “Conclusions and future work” summaries the major findings and recommendations for future study for researchers and aquaculture professionals. The book also contains appendices A through E, which provides the required supplementary information for the development of decision making models in aquaculture.

Kunden Rezensionen

Zu diesem Artikel ist noch keine Rezension vorhanden.
Helfen sie anderen Besuchern und verfassen Sie selbst eine Rezension.