scholarly journals An Evaluation Model of Quantitative and Qualitative Fuzzy Multi-Criteria Decision-Making Approach for Hydroelectric Plant Location Selection

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2783
Author(s):  
Fengsheng Chien ◽  
Chia-Nan Wang ◽  
Viet Tinh Nguyen ◽  
Van Thanh Nguyen ◽  
Ka Yin Chau
Keyword(s):  
Decision Making ◽  
Hydroelectric Plant ◽  
Low Cost ◽  
Optimal Solution ◽  
Multicriteria Decision Making ◽  
River System ◽  
Optimal Choice ◽  
Annual Rainfall ◽  
Location Selection ◽  
Hydroelectric Plants

Over the past few decades, Vietnam has been one of the fastest growing economies in Asia, experiencing a GDP growth rate of more than 6% per year. The energy industry plays an important role in Vietnam’s continuous development, so access to reliable and low-cost energy sources will be an important factor for sustainable economic growth. Achieving the goal of reducing global greenhouse gas emissions, as set out in the Paris agreement on climate change, will depend heavily on the development roadmap of emerging economies, such as Vietnam. Currently, developing hydroelectric plants is Vietnam’s optimal choice in order to meet its target of renewable energy development. Hydroelectricity in Vietnam is favorable thanks to the high average annual rainfall, about 1800–2000 mm, and the dense river system, with more than 3450 systems. In addition to providing electricity, hydropower plants are also responsible for cutting and fighting floods for downstream areas in the rainy season, at the same time providing water for production and people’s daily needs in the dry season. This work proposes the application of a multicriteria decision-making (MCDM) model to select the best option for the installation of river hydroelectric plants in Vietnam. The use of MCDM techniques in environmental decision-making, including selecting between various alternatives, is important when this involves complex decisions in several disciplinary fields. The most widely used of these techniques are the fuzzy analytical network process (FANP) and the technique for order of preference by similarity to ideal solution (TOPSIS). As a result, Nghe An (LOC05) is found to be the optimal solution for selecting river portions where hydroelectric plants are viable in Vietnam.

scholarly journals A Multicriteria Decision Making Approach Based on Fuzzy Theory and Credibility Mechanism for Logistics Center Location Selection

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Bowen Wang ◽  
Haitao Xiong ◽  
Chengrui Jiang
Keyword(s):  
Decision Making ◽  
Fuzzy Theory ◽  
Multicriteria Decision Making ◽  
Decision Makers ◽  
Location Selection ◽  
Logistics Center ◽  
Multicriteria Decision ◽  
Model Based ◽  
Center Location ◽  
Decision Making Model

As a hot topic in supply chain management, fuzzy method has been widely used in logistics center location selection to improve the reliability and suitability of the logistics center location selection with respect to the impacts of both qualitative and quantitative factors. However, it does not consider the consistency and the historical assessments accuracy of experts in predecisions. So this paper proposes a multicriteria decision making model based on credibility of decision makers by introducing priority of consistency and historical assessments accuracy mechanism into fuzzy multicriteria decision making approach. In this way, only decision makers who pass the credibility check are qualified to perform the further assessment. Finally, a practical example is analyzed to illustrate how to use the model. The result shows that the fuzzy multicriteria decision making model based on credibility mechanism can improve the reliability and suitability of site selection for the logistics center.

scholarly journals Application of Multiple Criteria Decision-Making Methods in Assignment Place Selection

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Mustafa Soba ◽  
Yusuf Ersoy ◽  
Ayşenur Tarakcioğlu Altınay ◽  
Birol Erkan ◽  
Eser Şik
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Multicriteria Decision Making ◽  
Preference Order ◽  
Location Selection ◽  
Face To Face ◽  
Importance Ratings ◽  
Promethee Method ◽  
Grey Relational ◽  
Selection Of

The aim of this study is to ensure that the location selection of the officers of the personnel class in the Land Forces Command is effective and needs to be met to determine the criteria used in the selection of the place of appointment or which is the most important and to reveal the preference order to the officers making the choice. In this survey, a face-to-face interview technique and 10 subquestionnaires of captain majors were applied. In the questionnaire technique, the weights of the criteria were determined by using the Max100 method, then the values of the criteria were determined by the Max100 method, and the alternatives were graded and ranked by using grey relational analysis (GRA) method and PROMETHEE method which are multicriteria decision-making techniques. As a result of this analysis, the assignment locations are listed and the importance ratings of the criteria used in the selection of the assignment location are determined.

scholarly journals A Decision-Making Model Based on TOPSIS, WASPAS, and MULTIMOORA Methods for University Location Selection Problem

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110401
Author(s):  
Pınar Miç ◽  
Z. Figen Antmen
Keyword(s):  
Decision Making ◽  
Multicriteria Decision Making ◽  
Sensitivity Analyses ◽  
Population Increase ◽  
Location Selection ◽  
Order Preference ◽  
Criteria Weights ◽  
Product Assessment ◽  
The Right ◽  
The University

With the growing population increase and following young population’s desire to study at the university, political authorities are supporting university and higher education investments, especially in the last 10 years. This situation has increased the number of universities considerably. Because a university will provide socioeconomic dynamism to both the development of the country and the region, choosing the right university location has become a significant problem nowadays. In line with this, this study is focused on supporting the new university location decision in a wide region in Turkey where currently the number of universities in the region is relatively low despite the high population density in the area. Alternative cities to be utilized in the study are determined particularly taking the demographic structure into consideration and various multicriteria decision-making (MCDM) techniques are applied. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Weighted Aggregated Sum Product Assessment (WASPAS), and Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) are applied to a real case study. Related criteria and alternative locations are specified by consulting seven experts. Within the study, both the results of these methods are presented, and also sensitivity analyses are conducted to observe how sensitive the results are to the changes in the criteria weights. The results obtained are purposed to aid decision makers in this field.

Comparison-Based Decision Making in Engineering Design

1999 ◽  
Author(s):  
Jie Wan ◽  
Sundar Krishnamurty
Keyword(s):  
Decision Making ◽  
Engineering Design ◽  
Parametric Design ◽  
Design Procedure ◽  
Optimal Solution ◽  
Multicriteria Decision Making ◽  
Consistency Checking ◽  
Adaptive Meshing ◽  
Multi Attribute Utility Theory ◽  
Single Attribute

Abstract Engineering design has been increasingly viewed as a decision making process involving complex multiple criteria optimization. Many Multi-Attribute Utility Theory (MAUT)-based models exist to develop the single attribute functions and the weight assessment for the overall utility with individual strengths and drawbacks. Focusing on the efforts towards a consistent preference representation supported engineering design procedure, a binary comparison and indirect assessment based method is presented in this paper to efficiently aid the continuous multicriteria decision making in engineering design. Uniqueness of this approach lies in its ability to deal with issues such as the preference consistency and accuracy, decision maker’s cognitive burden, conditions of uncertainty and risk, dynamic and interactive modeling of the designer’s preference structure, and MAU-like aggregation of the system utilities. The many salient features of this comparison-based multiattribute utility approach include a novel inequality lottery strategy, an adaptive meshing based linear additive utility model, a linear programming based dynamic preference modeling and systematic consistency checking, and an efficient exploration of optimal solution set and sensitivity analysis. The development of this method and its utilization in engineering design are presented in the context of a mechanism parametric design problem and the results are discussed.

scholarly journals Multicriteria Approach towards the Sustainable Selection of a Teahouse Location with Sensitivity Analysis

2018 ◽  
Vol 10 (8) ◽  
pp. 2926 ◽  
Author(s):  
Ji Chen ◽  
Jinsheng Wang ◽  
Tomas Baležentis ◽  
Fausta Zagurskaitė ◽  
Dalia Streimikiene ◽  
...  
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Monte Carlo Simulation ◽  
Multicriteria Decision Making ◽  
Indicator System ◽  
Optimal Location ◽  
Location Selection ◽  
Product Assessment ◽  
Set Up ◽  
Selection Of

The teahouse market has seen an expansion across various countries. In order to identify the most reasonable paths for development, the choice of location for the outlets needs to account for a number of conflicting criteria. Therefore, the multicriteria approach is required to effectively handle the location selection problem. In this paper, we develop a multicriteria framework for teahouse selection and apply it in the context of Lithuania. The indicator system is set up in order to capture the different aspects of the candidate locations. We also apply two multicriteria decision-making techniques (the evaluation based on distance from average solution (EDAS) method and the weighted aggregated sum product assessment with normalization (WASPAS-N) method) in order to ensure the robustness of the results. The weights of criteria were determined based on the expert survey. In addition, a Monte Carlo simulation was applied to check the sensitivity in changes of the criterion weights. The empirical application demonstrated validity of the proposed approach in choosing the optimal location of a teahouse.

scholarly journals ELECTRE I Based Relevance Decision-Makers Feedback to the Location Selection of Distribution Centers

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Maroi Agrebi ◽  
Mourad Abed ◽  
Mohamed Nazih Omri
Keyword(s):  
Decision Making ◽  
Multicriteria Decision Making ◽  
Decision Makers ◽  
Distribution Centers ◽  
Logistics System ◽  
Location Selection ◽  
Criteria Weights ◽  
Electre I ◽  
Selection Decision ◽  
Selection Of

The location selection of distribution centers is one of the important strategies to optimize the logistics system. To solve this problem, under certain environment, this paper presents a new multicriteria decision-making method based on ELECTRE I. The proposed method helps decision-makers to select the best location from a given set of locations for implementing. After having identified decision-makers, the criteria, and the set of locations, the factors influencing the selection are analyzed in order to identify the best location. A sensitivity analysis is then performed to determine the influence of criteria weights on the selection decision. The strength of the proposed method is to incorporate decision-makers’ preferences into the decision-making process. In addition, the proposed method considers both quantitative and qualitative criteria. Finally, the selected solution is validated by both tests of concordance and discordance simultaneously. A case study is provided to illustrate the proposed method.

scholarly journals Exploration of Normal Stochastic Multicriteria Decision-Making and Legal Dilemma in Project Investment

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Jianmiao Hu ◽  
Chong Chen
Keyword(s):  
Decision Making ◽  
Product Quality ◽  
Evaluation Model ◽  
Investment Decision ◽  
Relevant Literature ◽  
Optimal Solution ◽  
Multicriteria Decision Making ◽  
Project Investment ◽  
Multicriteria Decision ◽  
Evaluation Indexes

The purpose is to help enterprise managers make more accurate, scientific, and objective decisions on the optimal supplier in project investment, improve investment return and overall efficiency, and reduce investment risk. Following an introduction of normal stochastic multicriteria decision-making, a normal stochastic multicriteria decision-making method is proposed based on Bayesian Network- (BN-) Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) to help investors select suppliers. First, product cost, product quality, and product service are selected as evaluation indexes, and then, a supplier evaluation model is built based on the BN concept for expert evaluation. Second, the evaluation information is integrated. Based on the TOPSIS normal stochastic multicriteria decision-making method, the optimal supplier is selected under the comparison of the fit degree between each supplier and the best and worst solution. Finally, the optimal solution is determined and verified by a simulation example. The results show that in the problem of supplier selection in the retail industry, the BN model can truly provide feedback the product quality, cost, and service situation of each supplier and fully consider their behavior diversity. The normal stochastic multicriteria decision-making method based on TOPSIS can select the suppliers that are most in line with the investors’ development goals, especially in the face of good and bad suppliers. BN-based TOPSIS normal stochastic multicriteria decision-making method has strong logic and efficiency, is easy to operate, and has high practical value. Furthermore, the relevant laws of project investment decision-making are discussed through consultation on the relevant literature, thus providing help for the construction of relevant laws in the future.

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