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.

Fuzzy Analytic Hierarchy Process and Its Application to E-Marketplace Selection

2013 ◽  
pp. 26-44 ◽  
Author(s):  
Beyza Ahlatcioglu Ozkok ◽  
Elisa Pappalardo
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Multi Criteria Decision Making ◽  
Linguistic Variables ◽  
Analytic Hierarchy ◽  
Multi Attribute Decision Making ◽  
Electronic Parts ◽  
Hierarchy Process

Making decisions is a part of daily life. The nature of decision-making includes multiple and usually conflicting criteria. Multi Criteria Decision-Making (MCDM) problems are handled under two main headings: Multi Attribute Decision Making (MADM) and Multi Objective Decision Making (MODM). Analytic Hierarchy Process (AHP) is a widely used multi-criteria decision making approach and has successfully been applied to many practical problems. Traditional AHP requires exact or crisp judgments (numbers). However, due to the complexity and uncertainty involved in real world decision problems, decision makers might be more reluctant to provide crisp judgments than fuzzy ones. Furthermore, even when people use the same words, individual judgments of events are invariably subjective, and the interpretations that they attach to the same words may differ. This is why fuzzy numbers and fuzzy sets have been introduced to characterize linguistic variables. Here, the authors overview the most known fuzzy AHP approaches and their application, and they present a case study to select an e-marketplace for a firm, which produces and sells electronic parts of computers in Turkey.

scholarly journals New approach to decision making by multiple criteria analysis

2018 ◽  
Vol 146 ◽  
pp. 01002 ◽  
Author(s):  
Tomas Vanicek ◽  
Jana Kucerova
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Decision Support Tool ◽  
Decision Processes ◽  
Multiple Criteria ◽  
New Approach ◽  
Support Tool ◽  
Different Types ◽  
Multiple Criteria Evaluation

Many decision processes in technical and economical sciences require multiple criteria decision making. The most widely applied methods for multiple criteria evaluation of alternatives are based on the evaluation of alternatives in terms of an additive preference function. All of them require the estimation of weights of usually conflicting criteria. There are several methods how to find the weights of the criteria and how to find the evaluation of each solution in each criterion. The decision process based on simple weighted sum of values may not be the best approach in all situations. This paper contains a new approach of the evaluation of measured value set by different mathematical operators than the usually used multiple criteria evaluation methods. The approach was applied in a case study for multiple criteria evaluation. Generally, this new decision-support tool can help in various situations where different types of effects caused by a construction or reconstruction can occur. This is a very frequent situation in dealing with building defects, too.

Improving Interior-Design Decision-Making in Daylit Spaces

2017 ◽  
pp. 368-388
Author(s):  
Dalia Hafiz
Keyword(s):  
Decision Making ◽  
Interior Design ◽  
Collaborative Design ◽  
Field Measurements ◽  
Decision Support Tool ◽  
Visual Comfort ◽  
Support Tool ◽  
Design Changes ◽  
Traditional Approaches

Case study represents a principle methodology when an in-depth investigation is needed. It can be an alternative to traditional approaches to emphasize the researcher's perspective as central to the process. In an effort to allow for tool application purposefully selected architects and decision-makers were encouraged to apply a new decision-support tool; which that aims at enhancing decision-making though visual comfort evaluation. A selected case study space was used for application: a daylit museum located in Washington DC Metropolitan was examined for visual discomfort problems. Since museums are typically carefully lit because of the sensitivity of exhibits, this case study evaluated the daylighting condition in a museum using a series of illuminance field measurements, simulations and views experienced by occupants along a circulation path through the space. The case study also aimed at understanding how small design changes can affect visual comfort as a tactic for the case studies. A collaborative design effort was used in different stages of the case study.

Data Mining in Decision Support for Bioenergy Production

2010 ◽  
pp. 1091-1108
Author(s):  
Nasser Ayoub ◽  
Yuji Naka
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Decision Support ◽  
Decision Support Tool ◽  
Geographical Information ◽  
Support Tool ◽  
Bioenergy Production ◽  
Decision Making Problem ◽  
Biomass Resources

This chapter presents Data Mining, DM, as a planning and decision support tool for biomass resources management to produce bioenergy. Furthermore, the decision making problem for bioenergy production is defined. A Decision Support System, DSS that utilizes a DM technique, e.g. clustering, integrated with other group of techniques and tools, such as Genetic Algorithms, GA, Life Cycle Assessment, Geographical Information System, GIS, etc, is presented. A case study that shows how to tackle the decision making problem is also shown.

scholarly journals PROJECT SELECTION FOR GROUP DECISION MAKING: A MULTIPLE PROJECT PERSPECTIVE FROM PAKISTAN

2018 ◽  
Vol 6 (3) ◽  
pp. 190-203
Author(s):  
Muhammad Farhan BASHEER ◽  
Muhammad IMRAN ◽  
Siti Norasyikin Abdul HAMID ◽  
Azelin AZIZ
Keyword(s):  
Decision Making ◽  
Group Decision ◽  
Decision Support Tool ◽  
Strategic Decisions ◽  
Substantial Impact ◽  
Support Tool ◽  
Efficiency And Effectiveness ◽  
Hierarchy Process ◽  
Selection Of

Decision making is one of the primary functions of management. Making strategic decisions are important to achieve organisational efficiency and effectiveness. In the selection of projects, it is necessary for organisations to prioritise their projects due to limited resources. Therefore, the selection of projects that bring value and substantial impact on the organisation is very important to ensure that they can compete in the dynamic external environment and meet the goals and objectives. From the case study, the result suggests that the Analytical Hierarchy Process (AHP) method can contribute significantly to the identification of sources that need further clarification of attributes and criteria and at the same time it can provide a systematic analytical tool in making a group decision. This method allows the organisation to prioritize its projects based on certain criteria as it is a quantitative decision support tool. In conclusion, AHP is the best and efficient method for decision makers to consider all facts, weigh the pluses and minuses, reach, reevaluate and communicate their decisions.

scholarly journals PROJECT SELECTION FOR GROUP DECISION MAKING: A MULTIPLE PROJECT PERSPECTIVE FROM PAKISTAN

2018 ◽  
Vol 6 (3) ◽  
Author(s):  
Muhammad Farhan BASHEER ◽  
Muhammad IMRAN ◽  
Siti Norasyikin Abdul HAMID ◽  
Azelin AZIZ
Keyword(s):  
Decision Making ◽  
Group Decision ◽  
Decision Support Tool ◽  
Strategic Decisions ◽  
Substantial Impact ◽  
Support Tool ◽  
Efficiency And Effectiveness ◽  
Hierarchy Process ◽  
Selection Of

Decision making is one of the primary functions of management. Making strategic decisions are important to achieve organisational efficiency and effectiveness. In the selection of projects, it is necessary for organisations to prioritise their projects due to limited resources. Therefore, the selection of projects that bring value and substantial impact on the organisation is very important to ensure that they can compete in the dynamic external environment and meet the goals and objectives. From the case study, the result suggests that the Analytical Hierarchy Process (AHP) method can contribute significantly to the identification of sources that need further clarification of attributes and criteria and at the same time it can provide a systematic analytical tool in making a group decision. This method allows the organisation to prioritize its projects based on certain criteria as it is a quantitative decision support tool. In conclusion, AHP is the best and efficient method for decision makers to consider all facts, weigh the pluses and minuses, reach, reevaluate and communicate their decisions.

CRIDE: A Case Study in Multi-Criteria Analysis for Decision-Making Support in Rainwater Harvesting

2015 ◽  
Vol 14 (01) ◽  
pp. 43-67 ◽  
Author(s):  
Sandra Lorena Galarza-Molina ◽  
Andrés Torres ◽  
Priscilla Moura ◽  
Jaime Lara-Borrero
Keyword(s):  
Decision Making ◽  
Rainwater Harvesting ◽  
Decision Support Tool ◽  
Master Plan ◽  
University Campus ◽  
Support Tool ◽  
Expert Opinions ◽  
The Monte Carlo Method ◽  
The Ideal

This paper aims to develop a multi-criteria decision analysis (MCDA) tool for rainwater harvesting (RWH) on a university campus in Bogota, Colombia. The specific type of MCDA our research proposes is known as CRIDE (multi-CRIteria DEcision support tool), which allows us to study various methods of RWH. In order to account for uncertainties such as the variability of expert opinions and imprecision stemming from the different criteria required, we have designed this tool to incorporate ELECTRE II and the Monte Carlo method. For this case study we apply a methodology that evaluates the performance of six RWH scenarios. These six input scenarios emerged from an ideal one, wherein all rainwater throughout the campus is successfully harvested and treated until potable. From there, reality sets in: the other five scenarios are varying degrees of deviance from the ideal one, both in terms of water quantity and quality. In regard to collection and treatment we used sustainable urban drainage systems (SUDS). As for the evaluation of each of the scenarios, we outline eight criteria, which include hydraulic performance, compatibility with the University's Master Plan and financial aspects. Our research concludes that CRIDE as a means of support during the decision-making process generates a complete view of possible solutions, in addition to ranking these solutions. The CRIDE-based approach allows for the proposal of a methodology that evaluates the relevance of an established criteria set, using robustness, redundancy and sensitivity.

Data Mining in Decision Support for Bioenergy Production

2010 ◽  
pp. 235-253
Author(s):  
Nasser Ayoub ◽  
Yuji Naka
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Decision Support ◽  
Decision Support Tool ◽  
Geographical Information ◽  
Support Tool ◽  
Bioenergy Production ◽  
Decision Making Problem ◽  
Biomass Resources

This chapter presents Data Mining, DM, as a planning and decision support tool for biomass resources management to produce bioenergy. Furthermore, the decision making problem for bioenergy production is defined. A Decision Support System, DSS that utilizes a DM technique, e.g. clustering, integrated with other group of techniques and tools, such as Genetic Algorithms, GA, Life Cycle Assessment, Geographical Information System, GIS, etc, is presented. A case study that shows how to tackle the decision making problem is also shown.

scholarly journals Multi-Criteria Analysis of Design Solutions in Architecture and Engineering: Review of Applications and a Case Study

Buildings ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 244 ◽  
Author(s):  
Karolina Ogrodnik
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Residential Buildings ◽  
Assessment Method ◽  
Multi Criteria Decision Making ◽  
Single Family ◽  
Analytic Hierarchy ◽  
Support Tool ◽  
Topsis Technique

The primary goal of this paper is to present the application potential of MCDM/MCDA (multi-criteria decision-making/multi-criteria decision analysis) methods in the field of architecture and urban planning and in energy efficient construction, especially in the context of sustainable development paradigm. The first part of this paper is devoted to literature studies pertaining to multi-criteria decision-making support in the selected fields. On the basis of the delivered review, it was demonstrated that the most popular methods belonging to the MCDM/MCDA group that have been used so far for the purpose of resolving selected decision-making challenges, is the AHP (analytic hierarchy process) method with modifications, TOPSIS (technique for order of preference by similarity to ideal solution) method, as well the up-and-coming COPRAS (complex proportional assessment) method. In addition, by reviewing the literature, it was found that MCDM/MCDA methods constitute an effective support tool at the stage of evaluating and selecting project solutions, and are especially helpful in framing various social, economic, environmental criteria that are permanently linked to the rule of sustainable development. The empirical section of this paper, through a case study, presents a comparative analysis of the classical AHP method with its extension onto fuzzy sets. The case study pertained to the criteria for the location of single-family residential buildings with solar installations.

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