Search results for " decision analysis"
showing 10 items of 62 documents
Gully erosion susceptibility mapping using GIS-based multi-criteria decision analysis techniques
2019
Abstract This research introduces a scientific methodology for gully erosion susceptibility mapping (GESM) that employs geography information system (GIS)-based multi-criteria decision analysis. The model was tested in Semnan Province, Iran, which has an arid and semi-arid climate with high susceptibility to gully erosion. The technique for order of preference by similarity to ideal solution (TOPSIS) and the analytic hierarchy process (AHP) multi-criteria decision-making (MCDM) models were integrated. The important aspect of this research is that it did not require gully erosion inventory maps for GESM. Therefore, the proposed methodology could be useful in areas with missing or incomplete …
Measuring Sustainability with Unweighted TOPSIS: An Application to Sustainable Tourism in Spain
2021
The measurement of sustainability is complex due to its multiple dimensions of different relative importance and different natures. From the perspective of sustainability, three types of tourism can be established: traditional tourism, sustainable tourism, and sustainable impact tourism. In the context of multiple-criteria decision analysis, this paper presents a flexible method for assess and rank decision alternatives based on their sustainability. The proposal does not require the relative importance of each criterion to be precisely assigned beforehand, which reduces the subjectivity of the decision making and yields results that can be of interest for decision makers. To show the diffe…
An AHP-based evaluation procedure for Innovative Educational Projects: A face-to-face vs. computer-mediated case study
2008
In this paper a procedure to evaluate proposals for Educational Innovation Projects is proposed. This methodology should help the Institute of Educational Sciences of the Politechnical University of Valencia to choose the best Educational Project, the final aim being to provide the Administration with a stringent evaluation methodology, since the current evaluation methodology was found to be neither sufficiently objective nor systematic. Since in the definition and evaluation of these Educational Projects diverse stakeholders are involved, the process has been approached as a MCDA carried out by a group of experts. Although a whole methodology is proposed, the paper has been focused on the…
An AHP-based approach to PMISs assessment
2015
The project management environment gets complex and subject to uncertainty. The firm's managers need of tools supporting the decision–making process in order to properly manage project information. PMISs provide features facilitating the project management. The variety of software and the ambiguity of features meaning make the choice of the PMIS a difficult task. The literature analysis confirms the importance of user engagement in features and PMIS assessment and the lack of methodologies satisfying such a task. The paper focuses on the classification and assessment of features of PMIS considering the firm's needs. A case study is presented for the evaluation of a PMISs sample.
Complementary Judgment Matrix Method with Imprecise Information for Multicriteria Decision-Making
2018
The complementary judgment matrix (CJM) method is an MCDA (multicriteria decision aiding) method based on pairwise comparisons. As in AHP, the decision-maker (DM) can specify his/her preferences using pairwise comparisons, both between different criteria and between different alternatives with respect to each criterion. The DM specifies his/her preferences by allocating two nonnegative comparison values so that their sum is 1. We measure and pinpoint possible inconsistency by inconsistency errors. We also compare the consistency of CJM and AHP trough simulation. Because preference judgments are always more or less imprecise or uncertain, we introduce a way to represent the uncertainty throu…
Synchronous approach in interactive multiobjective optimization
2006
We introduce a new approach in the methodology development for interactive multiobjective optimization. The presentation is given in the context of the interactive NIMBUS method, where the solution process is based on the classification of objective functions. The idea is to formulate several scalarizing functions, all using the same preference information of the decision maker. Thus, opposed to fixing one scalarizing function (as is done in most methods), we utilize several scalarizing functions in a synchronous way. This means that we as method developers do not make the choice between different scalarizing functions but calculate the results of different scalarizing functions and leave t…
Using box indices in supporting comparison in multiobjective optimization
2009
Because of the conflicting nature of criteria or objectives, solving a multiobjective optimization problem typically requires interaction with a decision maker who can specify preference information related to the objectives in the problem in question. Due to the difficulties of dealing with multiple objectives, the way information is presented plays a very important role. Questions posed to the decision maker must be simple enough and information shown must be easy to understand. For this purpose, visualization and graphical representations can be useful and constitute one of the main tools used in the literature. In this paper, we propose to use box indices to represent information relate…
Stochastic Multicriteria Acceptability Analysis (SMAA)
2010
Stochastic multicriteria acceptability analysis (SMAA) is a family of methods for aiding multicriteria group decision making in problems with uncertain, imprecise or partially missing information. These methods are based on exploring the weight space in order to describe the preferences that make each alternative the most preferred one, or that would give a certain rank for a specific alternative. The main results of the analysis are rank acceptability indices, central weight vectors and confidence factors for different alternatives. The rank acceptability indices describe the variety of different preferences resulting in a certain rank for an alternative, the central weight vectors represe…
A Hybrid AHP Approach and GIS-Based Methods as Fundamental Tools in the SECAP’s Decision-Making Process
2023
Adapting to climate change and mitigating its impacts are the main challenges for cities today. One objective that the European Commission has set in recent decades is reducing climate change inaction, and several political actions have been implemented. Among these actions, the Covenant of Mayors led to the development and adoption of Sustainable Energy and Climate Action Plans (SECAPs) by many cities worldwide. A challenge that local authorities must face during the development of a SECAP is the identification of the policies to be included in the plan. This paper presents a case study to show the validity of using a hybrid analytic hierarchy process (AHP) approach and various geographic …