Using preference information in developing alternative forest plans

2010 ◽  
Vol 40 (12) ◽  
pp. 2398-2410 ◽  
Author(s):  
Kyle Eyvindson ◽  
Annika Kangas ◽  
Mikko Kurttila ◽  
Teppo Hujala
Keyword(s):  
Decision Making ◽  
Multicriteria Decision Making ◽  
Preference Information ◽  
Forest Ownership ◽  
Target Values ◽  
Planning Processes ◽  
Forest Plans ◽  
Further Development ◽  
Specific Number

The development of new alternative plans based on applying multicriteria decision making (MCDM) techniques in discrete choice situations has received little attention in the context of forest planning. This article proposes a two-stage approach to be applied in participatory decision-making situations in which a specific number of initial alternatives are evaluated by the decision makers (DMs) using MCDM analysis. The preference information, obtained from these analyses in the form of target values, is then used for generating still more efficient forest plans. This paper concentrates on the latter stage and tests nine different goal programming (GP) formulations. This paper uses the formulas and preference information obtained from a case study of three forest owners to generate new forest plans. Among the tested techniques, formulas with a penalty function provided the most appropriate plans. These GP formulations could enhance the participatory planning processes in which a discrete number of alternatives are evaluated. With further development, this process could be applied to a variety of forest ownership types and could be a useful tool in supporting group decision making. This proposed approach could facilitate an increase in the DMs’ satisfaction and an increased commitment towards the derived decision.

scholarly journals AHP Method to Support Decision Making for Sustainability

2020 ◽  
Vol 13 (4) ◽  
pp. 32
Author(s):  
Wail El hilali ◽  
Abdellah El manouar ◽  
Mohammed Abdou Janati Idrissi
Keyword(s):  
Decision Making ◽  
Business Models ◽  
Multicriteria Decision Making ◽  
Ahp Method ◽  
Telecom Operator ◽  
Fierce Competition ◽  
The Right ◽  
Scarcity Of Resources ◽  
New Framework

In these challenging times, finding a way to sustain the created value becomes a must. The fierce competition, the risk of disruption, the rise of customer awareness and the scarcity of resources, all these are few of many drivers that push companies to invest in sustainability. This paper is an attempt to enrich the literature about this subject. It mainly explores how to use the AHP method, a well-known multicriteria decision making technique, to decide about the right actions to implement, in order to reach sustainability. The paper is a continuity of a previous work that introduced a new framework that explained how companies could sustain their business models through information systems (IS). This approach was applied on a telecom operator, as a case study, to explain well how companies could choose the right actions to implement, in order to reach sustainability.

scholarly journals Fuzzy AHP-TOPSIS multi-criteria decision analysis applied to the Indus Reservoir system in Pakistan

2020 ◽  
Vol 20 (5) ◽  
pp. 1933-1949
Author(s):  
Shahmir Janjua ◽  
Ishtiaq Hassan
Keyword(s):  
Decision Making ◽  
Fuzzy Ahp ◽  
Multicriteria Decision Making ◽  
Decision Support Tool ◽  
Multi Criteria Decision Making ◽  
Indus River ◽  
Support Tool ◽  
Reservoir System ◽  
Weight Calculation

Abstract The ranking of the reservoirs in Pakistan is an important decision and it has a vital impact on the sustainability of the region and the economic operation of the reservoir. The reservoirs ranking is a vital problem which involves multi-criteria decision-making. The framework proposed in this paper involves the fuzzy AHP-TOPSIS method for the ranking of reservoirs in Pakistan. Potential feasible locations are identified from the Water and Power Development Authority, Pakistan. Weight calculation for the criteria is done by the fuzzy AHP method, which is a multi-criteria decision-making method. In order to model the fuzziness, equivocacy, incomplete knowledge and ambiguity, the fuzzy AHP is used. Furthermore, in order to rank the selected reservoirs based on their performance, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is applied, which is a multicriteria decision making method. We demonstrate the application of the above-mentioned methods to the case study of the Indus Reservoir system in Pakistan. A decision support tool is provided for the decision makers in this paper to manage, evaluate and rank the planned reservoirs in the Indus River.

Computer-aided sensitivity analysis of a multicriteria decision-making methodology for the evaluation of materials requirements stringency in the nuclear components manufacturing

2019 ◽  
Vol 233 (10) ◽  
pp. 2094-2107
Author(s):  
Álvaro Rodríguez-Prieto ◽  
Ana M Camacho ◽  
Ángel Yanguas-Gil ◽  
Miguel A Sebastián
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Power Plant ◽  
Nuclear Power ◽  
Multicriteria Decision Making ◽  
Manufacturing Processes ◽  
Primary Loop ◽  
Computer Aided ◽  
Selection Of

A methodology developed specifically for the evaluation of requirements of materials intended to high-demanding applications is the stringency levels methodology. The objective of this work is to perform a sensitivity analysis of the methodology of multicriteria stringency levels for the evaluation of technological requirements of materials, creating a new methodology that provides a final results studying variability that let us make an objective decision. The case study has been the evaluation of steels used in the manufacture of components housed in the primary loop of a nuclear power plant. To ease the calculation of the stringency levels, the algorithm has been computed in Labview®. Considering the dispersion that can generate the numerical weighting process, the analysis has shown that the variability in calculated values is not significant. The analysis proposed with this methodology could be used, in the future, for the selection of materials for innovative manufacturing processes.

scholarly journals Induced Unbalanced Linguistic Ordered Weighted Average and Its Application in Multiperson Decision Making

2014 ◽  
Vol 2014 ◽  
pp. 1-19 ◽  
Author(s):  
Lucas Marin ◽  
Aida Valls ◽  
David Isern ◽  
Antonio Moreno ◽  
José M. Merigó
Keyword(s):  
Decision Making ◽  
Weighted Average ◽  
Multicriteria Decision Making ◽  
Aggregation Operators ◽  
New Order ◽  
Linguistic Variables ◽  
Linguistic Terms ◽  
Ordered Weighted Average ◽  
Decision Making Model

Linguistic variables are very useful to evaluate alternatives in decision making problems because they provide a vocabulary in natural language rather than numbers. Some aggregation operators for linguistic variables force the use of a symmetric and uniformly distributed set of terms. The need to relax these conditions has recently been posited. This paper presents the induced unbalanced linguistic ordered weighted average (IULOWA) operator. This operator can deal with a set of unbalanced linguistic terms that are represented using fuzzy sets. We propose a new order-inducing criterion based on the specificity and fuzziness of the linguistic terms. Different relevancies are given to the fuzzy values according to their uncertainty degree. To illustrate the behaviour of the precision-based IULOWA operator, we present an environmental assessment case study in which a multiperson multicriteria decision making model is applied.

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