Timber harvest scheduling in a fuzzy decision environment

Bare, B. Bruce; Mendoza, Guillermo A.

doi:10.1139/x92-055

Cited by 31 publications

(12 citation statements)

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“…Examples of works in these fields include: timber harvest scheduling in a fuzzy decision environment (Bare and Mendoza 1992), fuzzy goal programming in forestry (Pickens and Hof 1991), a multi-objective evaluation model for sustainable forest management using criteria and indicators (Maness and Farrell 2004) and fuzzy methods for assessing criteria and indicators of sustainable forest management (Mendoza and Prabhu 2004).…”

Section: Discussionmentioning

confidence: 99%

Possibility schema for interdisciplinary forest management evaluation and decision-making

Kijazi¹

2005

The Forestry Chronicle

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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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Section: Discussionmentioning

confidence: 99%

Possibility schema for interdisciplinary forest management evaluation and decision-making

Kijazi¹

2005

The Forestry Chronicle

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“…Tecle et al (1994) developed an interactive fuzzy multicriterion decision model in which the decision maker is allowed to search the frontier of efficient solutions instead of being confronted with a uniquely preferred solution. Bare and Mendoza (1992) and focused only in timber yield. Ells et al (1997) were the first ones in combining the existence of vague objectives and constraints, as Tecle et al (1994) and did, and imprecise coeff icients as in Mendoza and Sprouse (1989), Bare and Mendoza (1992), Hof et al (1996) and Mendoza et al (1993).…”

Section: Lp Ip and Heuristics Techniques + Stochasticitymentioning

confidence: 99%

“…Bare and Mendoza (1992) and focused only in timber yield. Ells et al (1997) were the first ones in combining the existence of vague objectives and constraints, as Tecle et al (1994) and did, and imprecise coeff icients as in Mendoza and Sprouse (1989), Bare and Mendoza (1992), Hof et al (1996) and Mendoza et al (1993). Ells et al (1997) also modeled imprecise coefficients as fuzzy numbers and their approach gave more importance to the effect of the various sources of uncertainty in land allocation.…”

Section: Lp Ip and Heuristics Techniques + Stochasticitymentioning

confidence: 99%

Review. Assessing uncertainty and risk in forest planning and decision support systems: review of classical methods and introduction of new approaches

Pasalodos-Tato

Mäkinen²,

García-Gonzalo³

et al. 2013

For. syst.

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Aim: Since forest planning is characterized by long time horizon and it typically involves large areas of land and numerous stakeholders, uncertainty and risk should play an important role when developing forest management plans. The aim of this study is to review different methods to deal with risk and uncertainty in forest planning, listing problems that forest managers may face during the preparation of management plans and trying to give recommendations in regard to the application of each method according to the problem case. The inclusion of risk and uncertainty in decision support systems is also analyzed.Area: It covers the temporal and spatial scale of forest planning, the spatial context, the participation process, the objectives dimensions and the good and services addressed.Material and methods: Several hundreds of articles dealing with uncertainty and risk were identified regarding different forestry-related topics and approaches. Form them, around 170 articles were further reviewed, categorized and evaluated.Main results: The study presents a thorough review and classification of methods and approaches to consider risk and uncertainty in forest planning. Moreover, new approaches are introduced, showing the opportunities that their application present in forest planning.Research highlights: The study can aid forest managers in the decision making process when designing a forest management plan considering risk and uncertainty.Keywords: operations research; optimal alternative; stochastic risk; endogenous risk; stand level; forest level.

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“…The comprehensive development of the formal theory, which would provide for learning about natural fuzzy systems is, to a significant extent, a matter for the future. Although fuzzy logic and fuzzy methods are recommended as a means to incorporate subjective information in different aspects of assessing uncertainties (e.g., Haimes et al, 1994;Hattis and Burmaster, 1994), their applications in ecology and natural management are limited by numerous and diverse but partial tasks (Mendoza and Sprouse, 1989;Bare and Mendoza, 1991;Wan-Xiong et al, 2003;Chen and Mynett, 2003;Özesmi and Özesmi, 2004 etc.). In the framework of FCA, it is productive to apply "fuzzy thinking", a philosophical approach, which helps much in structuring problems, developing a relevant FCA system and treating uncertainties.…”

Section: )mentioning

confidence: 99%

Uncertainties of a Regional Terrestrial Biota Full Carbon Account: A Systems Analysis

Nilsson¹,

Shvidenko²,

Jonas³

et al. 2007

Accounting for Climate Change

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Abstract. We discuss the background and methods for estimating uncertainty in establishing a regional, terrestrial biota Full Carbon Account (FCA) in a holistic manner utilizing our experiences in generating such an account for vast regions in Northern Eurasia (at national and macro regional levels). For such an analysis, it is important to (1) provide a full account; (2) consider the relevance of a verified account taking in mind a further transition to a certified account; (3) understand that any FCA is a fuzzy system; as well as (4) understanding that a comprehensive assessment of uncertainties requires multiple harmonizing and combining system constraints of results received by different methods. An important result of this analysis is the conclusion that only a relevant integration of inventory, process based models and measurements in situ generate sufficient prerequisites for a verified FCA. We show that use of integrated methodology, at the current level of knowledge and system combination of available information, allows a verified FCA for large regions of the Northern hemisphere that could be realized for present and recent periods.

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Timber harvest scheduling in a fuzzy decision environment

Cited by 31 publications

References 0 publications

Possibility schema for interdisciplinary forest management evaluation and decision-making

Possibility schema for interdisciplinary forest management evaluation and decision-making

Review. Assessing uncertainty and risk in forest planning and decision support systems: review of classical methods and introduction of new approaches

Uncertainties of a Regional Terrestrial Biota Full Carbon Account: A Systems Analysis

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