scholarly journals Combining Decision Support Approaches for Optimizing the Selection of Bundles of Ecosystem Services

Forests ◽  
2018 ◽  
Vol 9 (7) ◽  
pp. 438 ◽  
Author(s):  
Marco Marto ◽  
Keith Reynolds ◽  
José Borges ◽  
Vladimir Bushenkov ◽  
Susete Marques

This study examines the potential of combining decision support approaches to identify optimal bundles of ecosystem services in a framework characterized by multiple decision-makers. A forested landscape, Zona de Intervenção Florestal of Paiva and Entre-Douro and Sousa (ZIF_VS) in Portugal, is used to test and demonstrate this potential. The landscape extends over 14,388 ha, representing 1976 stands. The property is fragmented into 376 holdings. The overall analysis was performed in three steps. First, we selected six alternative solutions (A to F) in a Pareto frontier generated by a multiple-criteria method within a web-based decision support system (SADfLOR) for subsequent analysis. Next, an aspatial strategic multicriteria decision analysis (MCDA) was performed with the Criterium DecisionPlus (CDP) component of the Ecosystem Management Decision Support (EMDS) system to assess the aggregate performance of solutions A to F for the entire forested landscape with respect to their utility for delivery of ecosystem services. For the CDP analysis, SADfLOR data inputs were grouped into two sets of primary criteria: Wood Harvested and Other Ecosystem Services. Finally, a spatial logic-based assessment of solutions A to F for individual stands of the study area was performed with the NetWeaver component of EMDS. The NetWeaver model was structurally and computationally equivalent to the CDP model, but the key NetWeaver metric is a measure of the strength of evidence that solutions for specific stands were optimal for the unit. We conclude with a discussion of how the combination of decision support approaches encapsulated in the two systems could be further automated in order to rank several efficient solutions in a Pareto frontier and generate a consensual solution.

Author(s):  
Marco Marto ◽  
Keith M. Reynolds ◽  
José G. Borges ◽  
Vladimir Bushenkov ◽  
Susete Marques

This study examines the potential of combining decision support approaches to identify optimal bundles of ecosystem services. A forested landscape, Zona de Intervenção Florestal of Paiva and Entre-Douro and Sousa (Portugal), is used to test and demonstrate this potential. The landscape extends over 14,000 ha, representing 1,976 stands. The property is fragmented into 376 holdings. The overall analysis was performed in three steps. First, we selected six alternative solutions (A to F) in a Pareto frontier generated by a multiple criteria method within a decision support system (SADfLOR) for subsequent analysis. Next, an aspatial strategic multi-criteria decision analysis (MCDA) analysis was performed with the Criterium DecisionPlus (CDP) component of another decision support system (EMDS) to assess the aggregate performance of solutions A to F for the entire forested landscape with respect to their utility for delivery of ecosystem services. For the CDP analysis, SADfLOR data inputs were grouped into two sets of primary criteria: Wood Harvested and Other Ecosystem Services. Finally, a spatial logic-based assessment of solutions A to F for individual stands of the study area was performed with the NetWeaver component of EMDS. The NetWeaver model was structurally and computationally equivalent to the CDP model, but the key NetWeaver metric is a measure of the strength of evidence that solutions for specific land stands were optimal for the unit. Solutions D and B performed best in the aspatial strategic MCDA analysis, and a composite of the maps generated by NetWeaver demonstrated the spatial basis for the performance of solutions D and B in individual land stands. We conclude with a discussion of how the combination of decision support approaches encapsulated in the two systems could be further automated.


Author(s):  
Maarten J. Postma ◽  
Gijs A. A. Hubben

This chapter addresses the increasing role of pharmacoinformatics in enhancing the pharmacoeconomics context of decision-making. Notably, the role of pharmacoeconomics—i.e. cost per QALY calculations—is growing rapidly for decisions on reimbursement of new drugs. These pharmacoeconomic analyses often involve complex mathematical computer models requiring specific informatics techniques such as probabilistic simulations, bootstrapping, and discrete-event approaches. Transparancy of these complex models is crucial for decision makers to accept the model and its results. The authors argue that Web technology, Web-based access to models, international transferability of analyses, and decision-support systems may help in this respect. In particular, to allow decision makers and researchers to directly interact with transferable economic models and adapt a model to their region, efficient solutions have to be found to disseminate technically complex models to decision makers and researchers outside of the original setting. One such solution is through the use of Web technology and other pharmacoinformatics’ techniques as explored in this chapter.


Respati ◽  
2017 ◽  
Vol 10 (30) ◽  
Author(s):  
Parjono Parjono ◽  
Wing Wahyu Winarno ◽  
Emha Taufiq Luthfi

ABSTRACTThis decision support system is a web-based system, which can help decision makers to use data from a variety of models to problems tersetruktur. In this thesis, has constructed a decision support system poorhouse reconstruction using AHP method (Analytical Heirarchy Process) which aims to help provide alternative solutions / proposals in decision-making, in this case that would be the Head of Social Service Klaten. Decision support systems are built based on 14 criteria poor from BPS (Central Bureau of Statistics) and giving preference value weighted interest where the total value of the weight should not be more or less than 100 (100%).Keywords: SPK, Reconstruction, AHP.


Land ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 747
Author(s):  
Marlene Marques ◽  
Keith M. Reynolds ◽  
Susete Marques ◽  
Marco Marto ◽  
Steve Paplanus ◽  
...  

Forest management planning can be challenging when allocating multiple ecosystem services (ESs) to management units (MUs), given the potentially conflicting management priorities of actors. We developed a methodology to spatially allocate ESs to MUs, according to the objectives of four interest groups—civil society, forest owners, market agents, and public administration. We applied a Group Multicriteria Spatial Decision Support System approach, combining (a) Multicriteria Decision Analysis to weight the decision models; (b) a focus group and a multicriteria Pareto frontier method to negotiate a consensual solution for seven ESs; and (c) the Ecosystem Management Decision Support (EMDS) system to prioritize the allocation of ESs to MUs. We report findings from an application to a joint collaborative management area (ZIF of Vale do Sousa) in northwestern Portugal. The forest owners selected wood production as the first ES allocation priority, with lower priorities for other ESs. In opposition, the civil society assigned the highest allocation priorities to biodiversity, cork, and carbon stock, with the lowest priority being assigned to wood production. The civil society had the highest mean rank of allocation priority scores. We found significant differences in priority scores between the civil society and the other three groups, highlighting the civil society and market agents as the most discordant groups. We spatially evaluated potential for conflicts among group ESs allocation priorities. The findings suggest that this approach can be helpful to decision makers, increasing the effectiveness of forest management plan implementation.


Author(s):  
Mesran Mesran ◽  
Selpi Anita ◽  
Ronda Deli Sianturi

One of the important things that an employee must have is not separated from the performance of an employee. For the effectiveness of human resources work in the assessment of the right decision is needed. Therefore, the software is made that can take a decision to recommend employee achievement for PT. Megariamas Sentosa. The software is built on the basis of a decision support system that has the ability to select outstanding employees using the ELECTRE method. This Electre method has criteria that can determine alternative decisions in application in the software. So that decision makers can determine the selection of outstanding employees. The process in this Electre method compares employees with one employee to another and gives out put value of priority intensity in the form of the assessment result / criteria that has been specified by the company to the employee. The result of this process is recommended as an outstanding employee in PT. Megaria Mas Sentosa.


2020 ◽  
Vol 1 (3) ◽  
pp. 220
Author(s):  
Amatillah Nasution ◽  
Kurnia Ulfa

Life insurance is a term used to refer to actions, systems, or businesses in which financial protection (or financial compensation) for life, property, health and so on gets reimbursed from unexpected events that can occur such as death , loss, damage or illness, which involves regular premium payments over a period of time in exchange for a policy that guarantees such protection. The term "insured" usually refers to everything that gets protection. Decision Support System is defined a system intended to support management decision making, Decision making is the main function of a manager or administrator. Decision making activities include identifying problems, finding alternative solutions to problems, evaluating these alternatives and choosing the best decision alternatives. The Vise Kriterijumska Optimazacija Kompromisno Resenje (VIKOR) method is one of the methods used in decision making. To use the decision support system method must have criteria that will be used in the determination, in addition it must determine the level of importance of each criterion. So the decision support system used must also have comprehensive and integrated planning to minimize the level of risk of failure and decision selection


2006 ◽  
Vol 8 (2) ◽  
pp. 91-100 ◽  
Author(s):  
Olfa Khelifi ◽  
Andrea Lodolo ◽  
Sanja Vranes ◽  
Gabriele Centi ◽  
Stanislav Miertus

Groundwater remediation operation involves several considerations in terms of environmental, technological and socio-economic aspects. A decision support tool (DST) becomes therefore necessary in order to manage problem complexity and to define effective groundwater remediation interventions. CCR (Credence Clearwater Revival), a decision support tool for groundwater remediation technologies assessment and selection, has been developed to help decision-makers (site owners, investors, local community representatives, environmentalists, regulators, etc.) to assess the available technologies and select the preferred remedial options. The analysis is based on technical, economical, environmental and social criteria. These criteria are ranked by all involved parties to determine their relative importance for a particular groundwater remediation project. The Multi-Criteria Decision Making (MCDM) is the core of the CCR using the PROMETHEE II algorithm.


Author(s):  
Irma Becerra-Fernandez ◽  
Matha Del Alto ◽  
Helen Stewart

Today, organizations rely on decision makers to make mission-critical decisions that are based on input from multiple domains. The ideal decision maker has a profound understanding of specific domains coupled with the experience that allows him or her to act quickly and decisively on the information. Daily, decision makers face problems and failures that are too difficult for any individual person to solve; therefore, teams are now required who share their knowledge in spontaneous collaborations. Since requisite expertise may not all reside in the same organization, nor be geographically colocated, virtual networked teams are needed. This chapter presents a case study describing the development and use of Postdoc, the first Web-based collaborative and knowledge management platform deployed at NASA.


Author(s):  
Yannis Charalabidis ◽  
Christina Theocharopoulou

One of the most critical issues relating to smart cities is the selection of the most suited interventions, among numerous available options. Especially when medium-sized municipalities are concerned that typically have less capabilities and available expertise, the need for a methodological framework for supporting the selection of possible interventions is profound. The aim of this article is to propose such a participative method for investigating the sectors in which a municipality could take actions, and for deciding on possible interventions. The approach includes citizens' opinion, municipality policy, and the organizational, technological and economic status of the municipality, as well as best practices from other smart cities. This way, a multi-criteria decision support model was developed, in order to select the best application scenarios for a medium-sized municipality. The model was applied in Samos Island in Greece, revealing that citizens show great interest in the development of smart applications. The whole approach can be easily applied, with the proper modifications, in a large variety of cities, offering a useful tool to decision makers and societies.


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