Possibility schema for interdisciplinary forest management evaluation and decision-making | Zendy

Martin Herbert Kijazi | Zendy

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Possibility schema for interdisciplinary forest management evaluation and decision-making

Author(s) -

Martin Herbert Kijazi

Publication year - 2005

Publication title -

the forestry chronicle

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.335

H-Index - 49

eISSN - 1499-9315

pISSN - 0015-7546

DOI - 10.5558/tfc81375-3

Subject(s) - ambiguity , sustainable forest management , forest management , computer science , stakeholder , schema (genetic algorithms) , fuzzy set , forest ecology , environmental resource management , management science , fuzzy logic , ecology , geography , forestry , ecosystem , artificial intelligence , environmental science , engineering , machine learning , biology , programming language , public relations , political science

Interdisciplinary planning and evaluation of forest management is necessary for sustainable forest management (SFM) schemes involving multiple values of multi-stakeholders. Often, multi-objective forest-planning and evaluation encounter complexity and uncertainty due to "inexactness"— i.e., fuzziness, ambiguity, imprecision and variability — of spatial behaviours of ecological and human systems. This paper develops the possibility schema — from fuzzy sets and theory of possibility — for representation and evaluation of inexact spatial concepts, configurations, and processes, associated with forest ecosystem and stakeholder values. A hypothetical case of interdisciplinary research utilizing criteria and indicators of SFM is used to illustrate the utility of the proposed possibility schema in interdisciplinary forest decision-making. The schema can be used for ex-ante appraisal and ex-post evaluation of forest programs. It can also be used for integration of interdisciplinary forest knowledge, including ecological and socio-economic models of SFM. Key words: decision-making, fuzzy sets, inexactness, interdisciplinary evaluation, multiple values, possibility theory, sustainable forest management, uncertainty

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