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Daniel L Schmoldt (20 results)
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Building Knowledge-Based Systems for Natural Resource Management
Seller: Robinson Street Books, IOBA, Binghamton, NY, U.S.A.
Association Member: IOBA
Seller rating 4 out of 5 stars
Hardcover. Condition: As New. Prompt Shipment, shipped in Boxes, Tracking PROVIDEDFine. First edition.
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Building Knowledge-Based Systems for Natural Resource Management
Language: English
Published by Chapman & Hall, New York, 1996
ISBN 10: 0412019213 ISBN 13: 9780412019210
Seller: Fox and Tome Booksellers, Frederick, MD, U.S.A.
Seller rating 4 out of 5 stars
Hardback. Condition: New. Authored by Daniel L. Schmoldt and H. Michael Rauscher, this hardcover volume offers a structured methodology for the planning, development, deployment, and evaluation of expert systems applied to natural resource management. The text addresses key phases such as system architecture, knowledge elicitation from domain experts, prototyping, and validation, providing guidance for resource managers and researchers tackling interdisciplinary problems where conventional mathematical models fall short. Published by Chapman & Hall in 1996, it reflects the broader integration of artificial intelligence techniques into environmental and conservation sciences during that period.
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Building Knowledge-Based Systems for Natural Resource Management
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 134.80
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Building Knowledge-Based Systems for Natural Resource Management
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 137.84
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Building Knowledge-Based Systems for Natural Resource Management
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 137.84
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: New.
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Condition: New.
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Building Knowledge-Based Systems for Natural Resource Management
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. Offers a process for planning, designing, implementing, and testing knowledge-based systems for natural resource management. This title presents material on these major aspects of building a deliverable system. Num Pages: 386 pages, biography. BIC Classification: RN; TVR. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 23. Weight in Grams: 1660. . 1996. Hardback. . . . .
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The Analytic Hierarchy Process In Natura
Book 23 of 41: Managing Forest EcosystemsLanguage: English
Published by Kluwer Academic Publishers, 2001
ISBN 10: 0792370767 ISBN 13: 9780792370765
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. Decision making in land management involves preferential selection among competing alternatives. Often, such choices are difficult owing to the complexity of the decision context. This book contains some of the works in this area including the analytic hierarchy process. Editor(s): Schmoldt, Daniel L.; Kangas, Jyrki (Finnish Forest Research Institute, Kannus Research Station, Finland); Mendoza, Guillermo A. (University of Illinois, Department of Natural Resources and Environmental Sciences, Urbana, USA); Pesonen, Mauno (Finnish Forest Research Institute, Vantaa, Finland). Series: Managing Forest Ecosystems. Num Pages: 325 pages, biography. BIC Classification: RNF; TVR. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 19. Weight in Grams: 1420. . 2001. Hardback. . . . .
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Gebunden. Condition: New.
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Paperback. Condition: Brand New. 328 pages. 9.25x6.10x0.74 inches. In Stock.
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The Analytic Hierarchy Process In Natura
Book 23 of 41: Managing Forest EcosystemsLanguage: English
Published by Kluwer Academic Publishers, 2001
ISBN 10: 0792370767 ISBN 13: 9780792370765
Condition: New. Decision making in land management involves preferential selection among competing alternatives. Often, such choices are difficult owing to the complexity of the decision context. This book contains some of the works in this area including the analytic hierarchy process. Editor(s): Schmoldt, Daniel L.; Kangas, Jyrki (Finnish Forest Research Institute, Kannus Research Station, Finland); Mendoza, Guillermo A. (University of Illinois, Department of Natural Resources and Environmental Sciences, Urbana, USA); Pesonen, Mauno (Finnish Forest Research Institute, Vantaa, Finland). Series: Managing Forest Ecosystems. Num Pages: 325 pages, biography. BIC Classification: RNF; TVR. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 19. Weight in Grams: 1420. . 2001. Hardback. . . . . Books ship from the US and Ireland.
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Condition: New. Offers a process for planning, designing, implementing, and testing knowledge-based systems for natural resource management. This title presents material on these major aspects of building a deliverable system. Num Pages: 386 pages, biography. BIC Classification: RN; TVR. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 23. Weight in Grams: 1660. . 1996. Hardback. . . . . Books ship from the US and Ireland.
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Building Knowledge-Based Systems for Natural Resource Management
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 210.99
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: As New. Unread book in perfect condition.
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Building Knowledge-Based Systems for Natural Resource Management
Language: English
Published by Springer Us Mär 1996, 1996
ISBN 10: 0412019213 ISBN 13: 9780412019210
Buch. Condition: Neu. Neuware - If one were forced to use a single key word to describe the decade of the 1980's, a very prominent one would be 'technology. ' Leading the forefront of tech nology advancement were breakthroughs in electronics. Devices that were uncommon or unknown in 1980 became commonplace, and almost indispens able, by 1989. This trend has continued into the 1990's and it does not seem to be abating in any way. Microwave ovens, video recorders, telephone answer ing machines, compact disc players, computers, and a host of smaller or less sophisticated devices now appear in most households. The development of small and inexpensive computers, i. e. , personal computers, has placed computing resources within reach of many more people. In addition, many traditional, and largely mechanical devices, have been enhanced by electronics. For example, specialized microprocessors are combined with arrays of electronic sensors to control and monitor sophisticated engineering components in most new auto mobiles. In this and many other ways, we are touched by the new electronics in almost every aspect of our daily lives. Initially, personal computers were little more than toys. They contained only a small fraction of the computing power of their immediate ancestors, the mini computers and mainframe computers. However, rapid improvements in integ rated circuit design and chip manufacture produced regular reductions in size and cost of computer components. During the same time, processor speed and sophistication increased.
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Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: new. Questo è un articolo print on demand.
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The Analytic Hierarchy Process in Natural Resource and Environmental Decision Making
Book 23 of 41: Managing Forest EcosystemsLanguage: English
Published by Springer Netherlands, 2010
ISBN 10: 9048157358 ISBN 13: 9789048157358
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Decision making in land management involves preferential selection among competing alternatives. Often, such choices are difficult owing to the complexity of the decision context. Because the analytic hierarchy process (AHP, developed by Thomas Saaty in .
