Skip to Main Content
Fuzzy logic knowledge bases in integrated landscape assessment: examples and possibilities.Author(s): Keith M. Reynolds
Source: Gen. Tech. Rep. PNW-GTR-521. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 24 p
Publication Series: General Technical Report (GTR)
Station: Pacific Northwest Research Station
Download Publication (268 KB)
DescriptionThe literature on ecosystem management has articulated the need for integration across disciplines and spatial scales, but convincing demonstrations of integrated analysis to support ecosystem management are lacking. This paper focuses on integrated ecological assessment because ecosystem management fundamentally is concerned with integrated management, which presupposes integrated analysis. Knowledge-based solutions are particularly relevant to ecosystem management because the topic is conceptually broad and complex and involves many abstract concepts whose assessment depends on many interdependent states and processes. Logic constructs are useful in this context because the problem can be evaluated as long as the entities and their logical relations are understood in a general way and can be expressed by subject matter authorities. As an example, ecosystem management decision-support system provides a formal logic framework for integrated analysis across multiple problem domains, has the ability to reason with incomplete information, and assists with optimizing the conduct of assessments by setting priorities on missing data. Most significant, however, is the possibility that knowledge-based reasoning could readily be extended to networks of knowledge bases that provide logical specifications for integrated analysis across spatial scales.
- Visit PNW's Publication Request Page to request a hard copy of this publication.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationReynolds, Keith M. 2001. Fuzzy logic knowledge bases in integrated landscape assessment: examples and possibilities. Gen. Tech. Rep. PNW-GTR-521. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 24 p
KeywordsKnowledge base, fuzzy logic, hierarchy, network, integration, ecosystem management, ecological assessment, landscape analysis
- EMDS users guide (version 2.0): knowledge-based decision support for ecological assessment.
- Using landscape disturbance and succession models to support forest management
- An aquatic multiscale assessment and planning framework approach—forest plan revision case study
XML: View XML