Using uncertain preferential information from stakeholders to assess the acceptability of alternative forest management plans

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[1]  Giuseppe Munda,et al.  Social multi-criteria evaluation: Methodological foundations and operational consequences , 2004, Eur. J. Oper. Res..

[2]  Eva-Maria Nordström,et al.  Aggregation of preferences in participatory forest planning with multiple criteria: an application to the urban forest in Lycksele, Sweden , 2009 .

[3]  David P. Morton,et al.  A Sequential Sampling Procedure for Stochastic Programming , 2011, Oper. Res..

[4]  Ian N. Durbach,et al.  Modelling uncertainty in stochastic multicriteria acceptability analysis , 2016 .

[5]  Theodor J. Stewart,et al.  Multiple criteria decision analysis - an integrated approach , 2001 .

[6]  F. A. Lootsma,et al.  Multicriteria decision analysis with fuzzy pairwise comparisons , 1989 .

[7]  Thomas L. Saaty,et al.  Multicriteria Decision Making: The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation , 1990 .

[8]  Alexander Shapiro,et al.  The Sample Average Approximation Method for Stochastic Discrete Optimization , 2002, SIAM J. Optim..

[9]  Guillermo A. Mendoza,et al.  Multi-criteria decision analysis in natural resource management: A critical review of methods and new modelling paradigms , 2006 .

[10]  S. Sheppard,et al.  Using multi-criteria analysis and visualisation for sustainable forest management planning with stakeholder groups , 2005 .

[11]  Risto Lahdelma,et al.  SMAA - Stochastic multiobjective acceptability analysis , 1998, Eur. J. Oper. Res..

[12]  J. Kangas,et al.  Interactive decision analysis in participatory strategic forest planning: experiences from state owned boreal forests. , 1999 .

[13]  N. Khabarov,et al.  Global bioenergy scenarios – Future forest development, land-use implications, and trade-offs , 2013 .

[14]  Teppo Hujala,et al.  Computer-based tools for supporting forest management. The experience and the expertise world-wide , 2014 .

[15]  Tommi Tervonen,et al.  Hit-And-Run enables efficient weight generation for simulation-based multiple criteria decision analysis , 2013, Eur. J. Oper. Res..

[16]  EyvindsonKyle,et al.  Stochastic goal programming in forest planning , 2014 .

[17]  Jyrki Kangas,et al.  Rank-based modelling of preferences in multi-criteria decision making , 2004, Eur. J. Oper. Res..

[18]  Mikko Kurttila,et al.  Mesta: An internet-based decision-support application for participatory strategic-level natural resources planning , 2009 .

[19]  Risto Lahdelma,et al.  SMAA-2: Stochastic Multicriteria Acceptability Analysis for Group Decision Making , 2001, Oper. Res..

[20]  Jayanath Ananda,et al.  The use of Analytic Hierarchy Process to incorporate stakeholder preferences into regional forest planning , 2003 .

[21]  Pekka Leskinen,et al.  Complementary use of voting methods and interactive utility analysis in participatory strategic forest planning: experiences gained from western Finland , 2007 .

[22]  Jyrki Kangas,et al.  Applying Stochastic Multicriteria Acceptability Analysis to Forest Ecosystem Management with Both Cardinal and Ordinal Criteria , 2003 .

[23]  Luis G. Vargas,et al.  Uncertainty and rank order in the analytic hierarchy process , 1987 .

[24]  Theodor J. Stewart,et al.  Multiple Criteria Decision Analysis , 2001 .

[25]  Tommi Tervonen,et al.  Implementing stochastic multicriteria acceptability analysis , 2007, Eur. J. Oper. Res..

[26]  Keun-Tae Cho,et al.  A loss function approach to group preference aggregation in the AHP , 2008, Comput. Oper. Res..

[27]  Jayanath Ananda,et al.  A critical review of multi-criteria decision making methods with special reference to forest management and planning , 2009 .

[28]  Carlos Romero,et al.  Making forestry decisions with multiple criteria: A review and an assessment , 2008 .

[29]  Jyrki Kangas,et al.  A participatory approach to tactical forest planning , 1996 .

[30]  Valerie Belton,et al.  A Framework for Group Decision Using a MCDA Model: Sharing, Aggregating or Comparing Individual Information? , 1997 .

[31]  Annika Kangas,et al.  Outranking methods as tools in strategic natural resources planning , 2001 .

[32]  Eva-Maria Nordström,et al.  Integrating multiple criteria decision analysis in participatory forest planning: Experience from a case study in northern Sweden , 2010 .

[33]  M. T. Escobar,et al.  Aggregation of Individual Preference Structures in Ahp-Group Decision Making , 2007 .

[34]  R. Hämäläinen,et al.  Preference programming through approximate ratio comparisons , 1995 .

[35]  C. Romero Extended lexicographic goal programming: a unifying approach , 2001 .

[36]  Kweku-Muata Osei-Bryson,et al.  Generating consensus priority point vectors: a logarithmic goal programming approach , 1999, Comput. Oper. Res..

[37]  Jacinto González-Pachón,et al.  Inferring consensus weights from pairwise comparison matrices without suitable properties , 2007, Ann. Oper. Res..

[38]  R. Keeney Decision analysis: an overview. , 1982, Operations research.

[39]  Ralph L. Keeney,et al.  Feature Article - Decision Analysis: An Overview , 1982, Oper. Res..