1993
DOI: 10.1016/0308-521x(93)90003-k
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A fuzzy multiple objective linear programming approach to forest planning under uncertainty

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Cited by 41 publications
(21 citation statements)
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“…As a result, modern forest management planning has the non-trivial challenge of preserving natural ecosystems, satisfying industry demands, meeting growing demands for non-timber outputs such as recreation, and satisfying other constraints on production imposed by a myriad of interest groups (Mendoza et al, 1993). In such a climate, a prerequisite to producing solutions that are acceptable by all parties is the inclusion of SFM standards in the harvest scheduling process.…”
Section: Discussionmentioning
confidence: 99%
“…As a result, modern forest management planning has the non-trivial challenge of preserving natural ecosystems, satisfying industry demands, meeting growing demands for non-timber outputs such as recreation, and satisfying other constraints on production imposed by a myriad of interest groups (Mendoza et al, 1993). In such a climate, a prerequisite to producing solutions that are acceptable by all parties is the inclusion of SFM standards in the harvest scheduling process.…”
Section: Discussionmentioning
confidence: 99%
“…There are many aspects of decision-making concerning natural resources management, and in particular forest management, that cannot be described adequately, or predicted deterministically, such as: future conditions of natural systems, states of interest that are inherently qualitative, risk, and human (Mendoza et al, 1993;d'Angelo et al, 1998;Pukkala, 1998;Malczewski, 1999;Ananda and Herath, 2003b;Kangas and Kangas, 2004). All these situations contribute to uncertainty in decision-making, which are often not considered because of data unavailability and costs (Malczewski, 1999).…”
Section: Type and Complexity Of The Problemmentioning
confidence: 99%
“…Applications based on fuzzy linear programming and fuzzy goal programming are also numerous (e.g. Mendoza et al, 1993;. In strategic forest planning, some MCDA methods such as AHP (the Analytic Hierarchy Process) (Saaty, 1980) have been utilised.…”
Section: Introductionmentioning
confidence: 99%