scholarly journals A multi-criteria decision making for renewable energy selection using Z-numbers in uncertain environment

2018 ◽  
Vol 24 (2) ◽  
pp. 739-764 ◽  
Author(s):  
Kajal CHATTERJEE ◽  
Samarjit KAR
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Fossil Fuels ◽  
Fuzzy Numbers ◽  
Renewable Energy Sources ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Features Selection ◽  
Criteria Weights ◽  
Near Future

In recent era of globalization, the world is perceiving an alarming rise in its energy consumption resulting in shortage of fossil fuels in near future. Developing countries like India, with fast growing population and economy, is planning to explore among its existing renewable energy sources to meet the acute shortage of overall domestic energy supply. For balancing diverse ecological, social, technical and economic features, selection among alternative renewable energy must be addressed in a multi-criteria context considering both subjective and objective criteria weights. In the proposed COPRAS-Z methodology, Z-number model fuzzy numbers with reliability degree to represents imprecise judgment of decision makers’ in evaluating the weights of criteria and selection of renewable energy alternatives. The fuzzy numbers are defuzzified and renewable energy alternatives are prioritized as per COmplex PropoRtional ASsessment (COPRAS) decision making method in terms of significance and utility degree. A sensitivity analysis is done to observe the variation in ranking of the criteria, by altering the coefficient of both subjective and objective weight. Also, the proposed methodology is compared with existing multi-criteria decision making (MCDM) methods for checking validity of the obtained ranking result.

Renewable Energy Sources

2016 ◽  
pp. 238-269
Author(s):  
Mahmure Övül Arıoğlu Akan ◽  
Ayşe Ayçim Selam ◽  
Seniye Ümit Oktay Fırat
Keyword(s):  
Renewable Energy ◽  
Fossil Fuels ◽  
Energy Use ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Global Energy ◽  
Global Organizations ◽  
Detailed Review ◽  
Life Threatening ◽  
Near Future

Sustainability concerns resulting from the consumption of natural resources, life-threatening levels of pollution, global warming, climate change and the ever-increasing worldwide energy use have brought renewable energy sources to forefront. Given the possibility of depletion of fossil fuels in the near future, the utilization of clean and renewable energy sources have become inevitable. Consequently, governments and global organizations adopted respective regulations to ensure the production and use of renewable energy and promote the respective new investments. In the light of these developments, the aim of this study is to conduct a detailed review and evaluation on the current literature and global energy statistics. The respective projects, binding regulations, incentives, and pricing mechanisms have also been studied to analyze and compare the renewable energy policies adopted worldwide. Ultimately, the goal is to make certain suggestions and lay out possible solutions regarding global energy problems.

scholarly journals Inclusion of uncertainty with different types of fuzzy numbers into DEMATEL

2021 ◽  
Vol 16 (1) ◽  
pp. 49-59
Author(s):  
Tjaša Šmidovnik ◽  
Petra Grošelj
Keyword(s):  
Complex System ◽  
Decision Making ◽  
Fuzzy Sets ◽  
Construction Projects ◽  
Fuzzy Numbers ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Intuitionistic Fuzzy Numbers ◽  
Intuitionistic Fuzzy ◽  
Different Types

Nowadays the multi-criteria decision making is very complicated due to uncertainty, vagueness, limited sources, knowledge and time. The Decision-making Trial and Evaluation Laboratory (DEMATEL) method is a widely used multi-criteria decision-making method to analyze the structure of a complex system. It is useful in analysing the cause and effect relationships between the components of the system. Fuzzy sets can be used to include uncertainty in multi-criteria decision making. Linguistic assessments of decision makers can be translated into fuzzy numbers. In this study, fuzzy numbers, intuitionistic fuzzy numbers and neutrosophic fuzzy numbers were used for the decision makers evaluations in the DEMATEL method. The aim of this study was to evaluate how different types of fuzzy numbers affect the final results. An application of risk in construction projects was selected from the literature, where seven experts used a linguistic scale to evaluate different criteria. The results showed that there are only slight differences between the weights of the criteria with regard to the type of fuzzy numbers.

scholarly journals Multi-Criteria Decision-Making for Airport Operation Performance Using Triangular Fuzzy Numbers

2019 ◽  
Vol 3 (3) ◽  
pp. 01-15
Author(s):  
Adeel Ahmad ◽  
Sana Akram ◽  
Muhammad Farhan Tabassum ◽  
Alia Kausar ◽  
Nousheen Ilyas
Keyword(s):  
Decision Making ◽  
Fuzzy Numbers ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Triangular Fuzzy Numbers ◽  
Operation Performance ◽  
Linguistic Form ◽  
Fuzzy Environment ◽  
Simple Additive Weighting

This paper advocates Multi-Criteria Decision-Making (MCDM) which evaluates the operation performance of airports using Fuzzy Simple Additive Weighting (FSAW) method. Assigned weights by decision- makers were in a linguistic form. These linguistic forms were converted into triangular fuzzy numbers. We chose three airports designated as A1, A2 and A3 and examined by four decision makers D1, D2, D3 and D4 under a fuzzy environment for performance against the chosen criteria. FSAW method gives similar decision results which shows that this method is effective, relevant and reliable for this kind of MCDM.

Renewable Energy Sources

2017 ◽  
pp. 537-567
Author(s):  
Mahmure Övül Arıoğlu Akan ◽  
Ayşe Ayçim Selam ◽  
Seniye Ümit Oktay Fırat
Keyword(s):  
Renewable Energy ◽  
Fossil Fuels ◽  
Energy Use ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Global Energy ◽  
Global Organizations ◽  
Detailed Review ◽  
Life Threatening ◽  
Near Future

Sustainability concerns resulting from the consumption of natural resources, life-threatening levels of pollution, global warming, climate change and the ever-increasing worldwide energy use have brought renewable energy sources to forefront. Given the possibility of depletion of fossil fuels in the near future, the utilization of clean and renewable energy sources have become inevitable. Consequently, governments and global organizations adopted respective regulations to ensure the production and use of renewable energy and promote the respective new investments. In the light of these developments, the aim of this study is to conduct a detailed review and evaluation on the current literature and global energy statistics. The respective projects, binding regulations, incentives, and pricing mechanisms have also been studied to analyze and compare the renewable energy policies adopted worldwide. Ultimately, the goal is to make certain suggestions and lay out possible solutions regarding global energy problems.

Simulation-Based Evaluation of Criteria Rank-Weighting Methods in Multi-Criteria Decision-Making

2016 ◽  
Vol 15 (01) ◽  
pp. 43-61 ◽  
Author(s):  
Hesham K. Alfares ◽  
Salih O. Duffuaa
Keyword(s):  
Decision Making ◽  
Rank Order ◽  
Probability Distributions ◽  
Decision Makers ◽  
Estimation Accuracy ◽  
Multi Criteria Decision Making ◽  
Simulation Based ◽  
Criteria Weights ◽  
Single Method ◽  
Preference Structures

This paper presents a simulation study to assess the performance of the five known methods for converting ranks of several criteria into weights in multi-criteria decision-making. The five methods assessed for converting criteria ranks into weights are: rank- sum (RS) weights, rank reciprocal (RR) weights, rank order centroid (ROC) weights, geometric weights (GW), and variable-slope linear (VSL) weights. The methods are compared in terms of weight estimation accuracy considering different numbers of criteria and decision makers’ (MS) preference structures. Alternative preference structures are represented by different probability distributions of randomly generated criteria weights, namely the uniform, normal, and exponential distributions. Results of the simulation experiments indicate that no single method is consistently superior to all others. On average, RS is best for uniform weights, VSL is best for normal weights, and ROC is best for exponential weights. However, for any multi-criteria decision-making (MCDM) problem, the best method for converting criteria ranks into weights depends on both the number of criteria and the weight distribution.

scholarly journals Application of Improved Best Worst Method (BWM) in Real-World Problems

Mathematics ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 1342 ◽  
Author(s):  
Dragan Pamučar ◽  
Fatih Ecer ◽  
Goran Cirovic ◽  
Melfi A. Arlasheedi
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Real World ◽  
Evaluation Criteria ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Weight Coefficients ◽  
Best Worst Method ◽  
Real World Problems

The Best Worst Method (BWM) represents a powerful tool for multi-criteria decision-making and defining criteria weight coefficients. However, while solving real-world problems, there are specific multi-criteria problems where several criteria exert the same influence on decision-making. In such situations, the traditional postulates of the BWM imply the defining of one best criterion and one worst criterion from within a set of observed criteria. In this paper, an improvement of the traditional BWM that eliminates this problem is presented. The improved BWM (BWM-I) offers the possibility for decision-makers to express their preferences even in cases where there is more than one best and worst criterion. The development enables the following: (1) the BWM-I enables us to express experts’ preferences irrespective of the number of the best/worst criteria in a set of evaluation criteria; (2) the application of the BWM-I reduces the possibility of making a mistake while comparing pairs of criteria, which increases the reliability of the results; and (3) the BWM-I is characterized by its flexibility, which is expressed through the possibility of the realistic processing of experts’ preferences irrespective of the number of the criteria that have the same significance and the possibility of the transformation of the BWM-I into the traditional BWM (should there be a unique best/worst criterion). To present the applicability of the BWM-I, it was applied to defining the weight coefficients of the criteria in the field of renewable energy and their ranking.

scholarly journals Multi-Criteria Decision Making and its Applications

2019 ◽  
Vol 8 (9S4) ◽  
pp. 149-153
Keyword(s):  
Decision Making ◽  
Basic Principle ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Operational Model ◽  
Criteria Weights ◽  
Working Principle ◽  
Mcdm Method ◽  
Application Fields ◽  
Selection Of

Multi-criteria decision making (MCDM) is a powerful operational model which are used to resolve decision making problems on the basis of different decision criteria. This approach has been widely used in many application fields by the decision makers to solve their problems. Although there exists different MCDM methods but the basic principle of MCDM method involves selection of criteria, selection of alternatives, selection of aggregation methods and weight criteria using these methods and finally evaluation of a set of alternatives performed based on criteria weights. This study presents a small description on the working principle and different methods of a Multi-criteria decision making and furthermore provides survey on their application in different fields.

scholarly journals MULTI-CRITERIA DECISION-MAKING FOR SELECTION OF RENEWABLE ENERGY SYSTEMS

2013 ◽  
Vol 3 (3) ◽  
Author(s):  
Milica Stojanovic
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Analytical Hierarchy Process ◽  
Energy Systems ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Suitable Alternative ◽  
Renewable Energy Systems ◽  
Multi Criteria Analysis ◽  
Hierarchy Process

Multi-criteria analysis involves defining each criterion using attributes, based on a suitable alternative for achieving objectives. The method used in multi-criteria analysis is Analytical Hierarchy Process. Analytical hierarchical process (AHP) is a tool in the analysis of decision making, created in order to assist decision-makers in solving complex decision problems involving large number of decision makers, large number of criteria and in multiple time periods. AHP method is used for selecting the best renewable energy systems. The aim is to, by using the method of AHP, demonstrate which of the analyzed renewable sources of energy is the most convenient to be used in a sustainable system. Key words:energy, multi-criteria decision making, analytical hierarchy process

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