A critical review of multi-criteria decision making methods with special reference to forest management and planning

By Jayanath Ananda, G. Herath. 2009

470 citations recorded by the source corpus.

This paper provides a review of research contributions on forest management and planning using multi-criteria decision making (MCDM) based on an exhaustive literature survey. The review primarily focuses on the application aspects highlighting theoretical underpinnings and controversies. It also examines the nature of the problems addressed and incorporation of risk into forest management and planning decision making. The MCDM techniques covered in this review belong to several schools of thought. For each technique, a variety of empirical applications including recent studies has been reviewed. More than 60 individual studies were reviewed and classified by the method used, country of origin, number and type of criteria and options evaluated. The review serves as a guide to those interested in how to use a particular MCDM approach. Based on the review, some recent trends and future research directions are also highlighted.

Subfields: Economics and Econometrics, Global and Planetary Change, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/080cdcd0b475aa10a8855f6af1f7c2dd6c6ae607

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In Economics and Econometrics

In Global and Planetary Change

In Management Science and Operations Research

Citations in the corpus

Multi-Criteria Decision Analysis and Cost-Benefit Analysis: Comparing alternative frameworks for integrated valuation of ecosystem services (2016, unknown): “A brief description of different MCDA methods with their pros and cons is presented below (see also Guitouni and Martel 1998; Salminen et al. 1998; de Montis et al. 2005; Ananda and Herath 2009).”
State of art surveys of overviews on MCDM/MADM methods (2014, background): “(2010) – material choosing and screening; Diaz-Balteiro and Romero (2008) – forestry-related decisions; Ananda and Herath (2009) – forest management and planning.”
Comparison of Fuzzy-AHP and AHP in a spatial multi-criteria decision making model for urban land-use planning (2015, background): “MCDM allows to accommodate the need for unbiased integration of modern planning objectives for independent identification and ranking of the most suitable planning solutions (Herath & Prato, 2006; Ananda & Herath, 2009; Mosadeghi et al., 2009).”