Application of criteria and indicators for sustainable forest management to a GIS-based multiple-criteria decision-making approach for forest conservation planning in the Kinabalu Region, Sabah, Malaysia.

2009 ◽  
pp. 213-227
Author(s):  
M. H. Phua ◽  
M. Minowa
Keyword(s):  
Decision Making ◽  
Forest Management ◽  
Conservation Planning ◽  
Forest Conservation ◽  
Sustainable Forest Management ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Criteria And Indicators

Aggregation of preferences in participatory forest planning with multiple criteria: an application to the urban forest in Lycksele, Sweden

2009 ◽  
Vol 39 (10) ◽  
pp. 1979-1992 ◽  
Author(s):  
Eva-Maria Nordström ◽  
Carlos Romero ◽  
Ljusk Ola Eriksson ◽  
Karin Öhman
Keyword(s):  
Decision Making ◽  
Forest Management ◽  
Urban Forest ◽  
Social Groups ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Forest Planning ◽  
Control Parameters ◽  
Distance Metric ◽  
Stakeholder Preferences

A promising approach for participatory forest management planning is the combination of multiple-criteria decision-making and group decision making. A crucial part of the participatory multiple-criteria decision-making process is the aggregation of individual stakeholder preferences into a collective preference. In this study, an approach based on the determination of cardinal compromise consensus was applied to a real case of participatory forest planning. Consensus matrices for four different social groups were established from stakeholder preferences in the form of pairwise comparisons of different sets of criteria. Criteria weights were obtained for each social group and used to determine rankings of 12 forest management plans. The rankings of the social groups were aggregated to determine consensus solutions for the choice of the best forest management plan from a collective perspective. In the procedure, control parameters and a distance metric were employed to find solutions that balance the points of view of the majority and the minority. This approach makes it possible to aggregate preferences of different stakeholders and produces a range of different solutions. Furthermore, certain values of the control parameters and the distance metric generate solutions that are promising to present in a participatory situation where stakeholders have very differing preferences.

scholarly journals Scores for Effective Forest Conservation: A Village-to- Village Approach

1970 ◽  
Vol 19 (1) ◽  
pp. 11-15 ◽  
Author(s):  
RK Pokharel ◽  
HO Larsen
Keyword(s):  
Forest Management ◽  
Forest Conservation ◽  
Sustainable Forest Management ◽  
Community Forestry ◽  
Community Forest ◽  
Criteria And Indicators ◽  
Forest Users

Community forestry in Nepal strives for forest conservation and sustainable forest management. Evaluating progress towards this end requires periodic measurements, and currently there are no standard tools for undertaking evaluations in a participatory way. The purpose of this paper is to suggest a standardized way for measuring effective forest conservation through the use of locally set scores. A village-to-village approach was used to assign scores on criteria and indicators developed earlier for forest conservation. A total of eight small meetings with forest users were conducted to elicit their perspectives and quantify their progress towards conservation by means of scores. For the 14 criteria specified, local forest users assigned higher scores to four criteria: two for social and one each for socio-economic and environmental spheres. This paper argues that a score of 59 or above is an effective cut off for determining "effective" forest conservation. Keywords: Community forest, criteria, forest management, indicator, village doi: 10.3126/banko.v19i1.2177 Banko Janakari, Vol. 19, No. 1, 11-15

scholarly journals Addressing Wildfire Risk in Forest Management Planning with Multiple Criteria Decision Making Methods

2017 ◽  
Vol 9 (2) ◽  
pp. 298 ◽  
Author(s):  
Susete Marques ◽  
Marco Marto ◽  
Vladimir Bushenkov ◽  
Marc McDill ◽  
JoséG. Borges
Keyword(s):  
Decision Making ◽  
Forest Management ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Management Planning ◽  
Wildfire Risk ◽  
Forest Management Planning

scholarly journals A New Grey Approach for Using SWARA and PIPRECIA Methods in a Group Decision-Making Environment

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1554
Author(s):  
Dragiša Stanujkić ◽  
Darjan Karabašević ◽  
Gabrijela Popović ◽  
Predrag S. Stanimirović ◽  
Muzafer Saračević ◽  
...  
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Multiple Criteria Decision Making ◽  
Grey System Theory ◽  
Multiple Criteria ◽  
Decision Making Process ◽  
Grey System ◽  
Criteria Weights

The environment in which the decision-making process takes place is often characterized by uncertainty and vagueness and, because of that, sometimes it is very hard to express the criteria weights with crisp numbers. Therefore, the application of the Grey System Theory, i.e., grey numbers, in this case, is very convenient when it comes to determination of the criteria weights with partially known information. Besides, the criteria weights have a significant role in the multiple criteria decision-making process. Many ordinary multiple criteria decision-making methods are adapted for using grey numbers, and this is the case in this article as well. A new grey extension of the certain multiple criteria decision-making methods for the determination of the criteria weights is proposed. Therefore, the article aims to propose a new extension of the Step-wise Weight Assessment Ratio Analysis (SWARA) and PIvot Pairwise Relative Criteria Importance Assessment (PIPRECIA) methods adapted for group decision-making. In the proposed approach, attitudes of decision-makers are transformed into grey group attitudes, which allows taking advantage of the benefit that grey numbers provide over crisp numbers. The main advantage of the proposed approach in relation to the use of crisp numbers is the ability to conduct different analyses, i.e., considering different scenarios, such as pessimistic, optimistic, and so on. By varying the value of the whitening coefficient, different weights of the criteria can be obtained, and it should be emphasized that this approach gives the same weights as in the case of crisp numbers when the whitening coefficient has a value of 0.5. In addition, in this approach, the grey number was formed based on the median value of collected responses because it better maintains the deviation from the normal distribution of the collected responses. The application of the proposed approach was considered through two numerical illustrations, based on which appropriate conclusions were drawn.

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