Strategic analysis of the James Bay hydro-electric dispute in Canada

2005 ◽  
Vol 32 (5) ◽  
pp. 868-880 ◽  
Author(s):  
Jing Ma ◽  
Keith W Hipel ◽  
Mitali De
Keyword(s):  
Conflict Resolution ◽  
Decision Support ◽  
Stability Analysis ◽  
Decision Support System ◽  
Support System ◽  
Graph Model ◽  
Decision Makers ◽  
Native People ◽  
Strategic Analysis ◽  
James Bay

A strategic analysis of the James Bay conflict was carried out by using the graph model for conflict resolution. In 1971, Hydro-Québec, which is the third-largest electrical generating company of North America, began its large-scale hydroelectric projects in the James Bay area. Since the projects would significantly affect the living conditions of the native people and the environment around that region, worldwide debates were stimulated. A conflict model was developed in terms of the decision makers, their options, and their preferences for the situation existing as of January 2002, just prior to the signing of the final agreement. Subsequently, a stability analysis based on the calibrated model indicates that a possible resolution is that Hydro-Québec reduces the number of proposed power stations to appease the native people, who in turn would not initiate lawsuits. Sensitivity and hypergame analyses were also carried out to demonstrate the effects of preferences of decision makers on the final resolution. In practice, the modelling and analysis were implemented using the decision support system, GMCR II®. Key words: Hydroelectric, conflict resolution, decision support system, graph model, stability analysis, sensitivity analysis, hypergame analysis.

scholarly journals A Decision Support System for Public Funding of Experimental Development in Energy Research

Energies ◽  
2018 ◽  
Vol 11 (6) ◽  
pp. 1357 ◽  
Author(s):  
Simon Hirzel ◽  
Tim Hettesheimer ◽  
Peter Viebahn ◽  
Manfred Fischedick
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Large Scale ◽  
Public Funding ◽  
Evaluation Process ◽  
Decision Makers ◽  
Market Failures ◽  
Energy Research ◽  
Experimental Development

New energy technologies may fail to make the transition to the market once research funding has ended due to a lack of private engagement to conclude their development. Extending public funding to cover such experimental developments could be one way to improve this transition. However, identifying promising research and development (R&D) proposals for this purpose is a difficult task for the following reasons: Close-to-market implementations regularly require substantial resources while public budgets are limited; the allocation of public funds needs to be fair, open, and documented; the evaluation is complex and subject to public sector regulations for public engagement in R&D funding. This calls for a rigorous evaluation process. This paper proposes an operational three-staged decision support system (DSS) to assist decision-makers in public funding institutions in the ex-ante evaluation of R&D proposals for large-scale close-to-market projects in energy research. The system was developed based on a review of literature and related approaches from practice combined with a series of workshops with practitioners from German public funding institutions. The results confirm that the decision-making process is a complex one that is not limited to simply scoring R&D proposals. Decision-makers also have to deal with various additional issues such as determining the state of technological development, verifying market failures or considering existing funding portfolios. The DSS that is suggested in this paper is unique in the sense that it goes beyond mere multi-criteria aggregation procedures and addresses these issues as well to help guide decision-makers in public institutions through the evaluation process.

scholarly journals Validation of a Model Appropriateness Framework Using the Elbe Decision Support System

2011 ◽  
pp. 193-218
Author(s):  
Yue-Ping Xu ◽  
Martijn J. Booij
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
River Basin ◽  
Support System ◽  
River Basin Management ◽  
Development Stage ◽  
Decision Makers ◽  
Basin Management ◽  
Use Of Models

This paper describes validation of an appropriateness framework, which has been developed in a former study, to determine appropriate models under uncertainty in a decision support system for river basin management. Models are regarded as ‘appropriate’ if they produce final outputs within adequate uncertainty bands that enable decision-makers to distinguish or rank different river engineering measures. The appropriateness framework has been designed as a tool to stimulate the use of models in decision-making under uncertainty and to strengthen the communication between modelers and decision-makers. Through the application to a different river with different objectives in this validation study from the river used in the development stage, this paper investigates whether the appropriateness framework works in a different situation than it was designed for. Recommendations from the development stage are taken into account in this validation case study as well. The final results from the study showed a successful validation of the appropriateness framework and suggested further possibilities for the application in decision support systems for river basin management.

scholarly journals Implementasi Metode Electre Dalam Penentuan Karyawan Berprestasi (Studi Kasus: PT. MEGARIMAS SENTOSA)

2018 ◽  
Vol 3 ◽  
pp. 32
Author(s):  
Mesran Mesran ◽  
Selpi Anita ◽  
Ronda Deli Sianturi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Human Resources ◽  
Support System ◽  
Decision Makers ◽  
Electre Method ◽  
The Right ◽  
Assessment Result ◽  
Selection Of

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.

scholarly journals DECISION SUPPORT SYSTEM DETERMINES THE PURCHASE OF HOUSE RIGHT USING ANALYTICAL HIERARCHY PROCESS (AHP) AND BORDA METHODS

JOURNAL ASRO ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Didit Herdiawan Ashaf ◽  
Sutikno Wahyu Hidayat ◽  
Ahmadi Ahmadi
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Group Decision Making ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Group Decision ◽  
Decision Makers ◽  
Home Purchase ◽  
Hierarchy Process

Increasing population growth also contributes to the increasing need for homes or dwellings as basic human needs. Many ways people do to meet these needs, among others, by buying from someone else, building it yourself or by buying a house in a housing developer. Houses besides being a basic human need, it is also used as an indicator of one's success and as an asset for business development and an increase in the economic value of the owner. Prospective home buyers certainly have criteria that are considered in choosing a house. Many of the existing criteria are often followed by the availability of more than one choice of the house to be able to meet these criteria. Therefore, the writer tries to try to make a Decision Support System in a Home Purchase that will later help prospective home buyers in deciding which house to buy. The decision-making method used in this system is an analytical hierarchy process (AHP) as a form of decision-making model that is suitable for multi-criteria and multi-alternative problems with the main input being human perception. Combined with the Borda method which is one method of group decision making that can combine the results of perceptual analysis (the results of AHP analysis) from several decision makers. it is necessary to have a group decision-making technique (group decision support system). So that the resulting home purchase decision can be accepted by all decision makers (family). From the results of the calculation and voting process, House X was chosen with 9 votes.   Keywords: Home Purchase, Analytical Hierarchy Process, Borda

scholarly journals TRANSFORMATION OF THE DECISION SUPPORT SYSTEM MODEL FOR STANDARD SITUATIONS USING INTELLECTUAL AND ANALYTICAL METHODS

2021 ◽  
Vol 21 (3) ◽  
pp. 14-25
Author(s):  
V.V. Antonov ◽  
◽  
K.A. Konev ◽  
G.G. Kulikov ◽  
◽  
...  
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Decision Makers ◽  
Information Support ◽  
Accurate Identification ◽  
Interaction Structure ◽  
Typical Situation ◽  
Analytical Tools

The article discusses the issues of improving the efficiency of decision support activities on a relatively large amount of information. The research relevance is associated with the increasing complexity of control objects, which leads to a decrease in the efficiency of decision-making based on the personal experience of decision-makers, up to complete impossibility. The purpose of the ar-ticle is to analyze the problems faced by decision-makers and the creation of methods to improve the effectiveness of decision-making in typical situations. The article examines the main compo-nents of the intelligent subsystem of the decision support system, which require the use of analytical tools, and also forms the methods interaction structure necessary for the effective formation of sce-narios of information support for decision making. To achieve the goals, a decision support method based on an intelligent component was used, which is aimed at creating an effective infrastructure to sup-port decision-making; methods of identification and categorization, designed to implement the most accurate and correct comparison of the characteristics (state) of the observed situation and the characteristics of a typical situation stored in the knowledge base; correlation methods aimed at finding dependencies between the characteristics of situations and scenarios to solve problems associated with these situa-tions; a method for constructing subject qualimetry, used to form a predictive model to assess the degree of compliance of the selected scenario for solving the current situation. As a result, it was de-termined that an important aspect of decision-making in typical situations is the most accurate identification of the state of the situation, the choice of the best scenario for implementing the solu-tion for this situation and the analysis of the consequences of the selected set of measures. To solve these problems, a method for identifying a situation, a method for finding solution scenarios and a qualimetric method for predicting the effectiveness of the selected scenario have been formed. The article concludes that decision-making activities based on the accumulated experience can be im-proved by using the proposed methods and implementing a decision support system with an intelli-gent component.

A Multicriteria Group Decision Support System

2021 ◽  
pp. 107-133
Author(s):  
Nesrine Hamdani ◽  
Djamila Hamdadou
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Web Service ◽  
Support System ◽  
Group Decision ◽  
Multicriteria Analysis ◽  
Group Decision Support ◽  
Decision Makers ◽  
Group Decision Support System ◽  
Voting Methods

In the present study, the authors propose a group decision support system (Web-GDSS), which allows multi-agents systems and multicriteria analysis systems to help decision-makers in order to obtain a collective decision, using web services. The proposed system operates on two main stages. First, decision-makers are in a different location away from each other. They must store their location in databases and invoke the appropriate web service. Second, in the case of negotiation between decision-makers, monotonic concession protocol will lead to an agreement using CONDORCET and BORDA voting methods.

A Communication Platform for Group Decision Support System

2021 ◽  
pp. 678-702
Author(s):  
Mounya Abdelhadi ◽  
Djamila Hamdadou ◽  
Nabil Menni
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Group Decision ◽  
Multicriteria Analysis ◽  
Negotiation Process ◽  
Group Decision Support ◽  
Decision Makers ◽  
Group Decision Support System ◽  
Communication Platform

In a group decision support system, the various decision-makers have their own information, constrains, decision strategies, preferences, and objectives which are generally not shared or communicated. This implies that the group decision process is distributed between the different entities implicated and impacted by various group members' characteristics. Solution to this problem is to find a decision that would be acceptable to all the decision-makers, following the necessity of a negotiation process that allows the elaboration of a common agreement for a group that faces a conflict on the decision to take. In the current study, the authors propose to establish a communication platform for a group decision support system (GDSS) based on web services, incorporating a multicriteria analysis methods and a negotiation protocol.

A Decision Support System and Visualisation Tools for AHP-GDM

2021 ◽  
pp. 703-722
Author(s):  
Alberto Turón ◽  
Juan Aguarón ◽  
María Teresa Escobar ◽  
José María Moreno-Jiménez
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Group Decision Making ◽  
Support System ◽  
Pairwise Comparison ◽  
Decision Makers ◽  
Consensus Matrix ◽  
Minimum Number

The Precise Consistency Consensus Matrix (PCCM) is a decisional tool for AHP-Group Decision Making (AHP-GDM). Based on the initial pairwise comparison matrices of the individuals, the PCCM constructs a consensus matrix for the group using the concept of consistency. This paper presents a decision support system (PRIOR-PCCM) that facilitates the construction of the PCCM in the context of AHP-GDM, and the calculus of four indicators that allows comparison of the behaviour of group consensus matrices. PRIOR-PCCM incorporates the possibility of considering different weights for the decision makers and includes a module that permits the extension of the initial PCCM which can achieve the minimum number of non-null entries required for deriving priorities or establishing a complete PCCM matrix. It also includes two cardinal indicators for measuring consistency and compatibility and two ordinal indicators for evaluating the number of violations of consistency and priority. The paper introduces some new visualisation tools that improve comprehension of the process followed for obtaining the PCCM matrix and allow the cognitive exploitation of the results. These original contributions are illustrated with a case study.

scholarly journals An Innovative Decision Support System to Improve the Energy Efficiency of Buildings in Urban Areas

2020 ◽  
Vol 12 (2) ◽  
pp. 259 ◽  
Author(s):  
Małgorzata Sztubecka ◽  
Marta Skiba ◽  
Maria Mrówczyńska ◽  
Anna Bazan-Krzywoszańska
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Decision Support ◽  
Geographic Information Systems ◽  
Decision Support System ◽  
Support System ◽  
Urban Areas ◽  
Renewable Energy Sources ◽  
Decision Makers ◽  
Energy Sources

Improving in the energy efficiency of urban buildings, and maximizing the savings and the resulting benefits require information support from city decision-makers, planners, and designers. The selection of the appropriate analytical methods will allow them to make optimal design and location decisions. Therefore, the research problem of this article is the development of an innovative decision support system using multi-criteria analysis and Geographic Information Systems (decision support system + Geographic Information Systems = DGIS) for planning urban development. The proposed decision support system provides information to energy consumers about the location of energy efficiency improvement potential. This potential has been identified as the possibility of introducing low-energy buildings and the use of renewable energy sources. DGIS was tested in different construction areas (categories: A, B, C, D), Zielona Góra quarters. The results showed which area among the 53 quarters with a separate dominant building category was the most favorable for increasing energy efficiency, and where energy efficiency could be improved by investing in renewable energy sources, taking into account the decision-maker. The proposed DGIS system can be used by local decision-makers, allowing better action to adapt cities to climate change and to protect the environment. This approach is part of new data processing strategies to build the most favorable energy scenarios in urban areas.

Towards Spatial Decision Support System for Animals Traceability

2011 ◽  
pp. 389-411
Author(s):  
Marcos Visoli ◽  
Sandro Bimonte ◽  
Sônia Ternes ◽  
François Pinet ◽  
Jean-Pierre Chanet
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Decision Makers ◽  
Spatial Decision Support System ◽  
Private Institutions ◽  
Accurate Data ◽  
Spatial Decision Support ◽  
New Generation

Animal traceability is a very important question for several government and private institutions from many points of view: economical, sanitary, etc. Traditional systems are able to memorize the main bovine movements, or to capture the geolocation of an animal using RFID. Now it should be possible to envisage a new generation of traceability systems in which the different locations are automatically recorded several times per day for each animal. These systems should also be coupled with analysis techniques to help decision-makers to take decisions, validate and/or reformulate their hypothesis. In this chapter the authors present a spatial decision support system dedicated to the animal geolocation acquisitions and analysis of possible sanitary problems. Indeed, in case of sanitary alerts, the system is able to determine the animals which have been in contact with a diseased animal exploiting historical trajectories of animals. It is applied to traceability of beef cattle using the Brazilian production system as a case study. OTAG focuses on improving methods and geotechnologies for recording reliable and accurate data on beef production.

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