scholarly journals An Overview of Multi-Criteria Decision-Making Methods in Dealing with Sustainable Energy Development Issues

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2754 ◽  
Author(s):  
Indre Siksnelyte ◽  
Edmundas Zavadskas ◽  
Dalia Streimikiene ◽  
Deepak Sharma
Keyword(s):  
Decision Making ◽  
Swot Analysis ◽  
Sustainable Energy ◽  
Energy Development ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Energy Sustainability ◽  
Widespread Application ◽  
Sustainability Problems ◽  
Scientific Achievements

The measurement of sustainability is actively used today as one of the main preventative instruments in order to reduce the decline of the environment. Sustainable decision-making in solving energy issues can be supported and contradictory effects can be evaluated by scientific achievements of multi-criteria decision-making (MCDM) techniques. The main goal of this paper is to overview the application of decision-making methods in dealing with sustainable energy development issues. In this study, 105 published papers from the Web of Science Core Collection (WSCC) database are selected and reviewed, from 2004 to 2017, related to energy sustainability issues and MCDM methods. All the selected papers were categorized into 9 fields by the application area and into 10 fields by the used method. After the categorization of the scientific articles and detailed analysis, SWOT analysis of MCDM approaches in dealing with sustainable energy development issues is provided. The widespread application and use of MCDM methods confirm that MCDM methods can help decision-makers in solving energy sustainability problems and are highly popular and used in practice.

scholarly journals Selection of the Multiple-Criiater Decision-Making Method for Evaluation of Sustainable Energy Development: A Case Study of Poland

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6321
Author(s):  
Małgorzata Trojanowska ◽  
Krzysztof Nęcka
Keyword(s):  
Decision Making ◽  
Empirical Distribution ◽  
Sustainable Energy ◽  
Multiple Criteria Decision Making ◽  
Energy Development ◽  
Linear Ordering ◽  
Energy Sustainability ◽  
Multi Stage ◽  
Clustering Quality ◽  
Selection Of

One of the basic objectives of the European Union’s energy policy is to obtain and use energy in a sustainable way. Multiple-criteria decision making (MCDM) methods, in particular linear ordering based on the synthetic variable procedure, are used for comparative analyses of the level of energy sustainability. Despite many studies, the problem of choosing the optimal ordering method is still not fully resolved. This paper presents an original procedure that facilitates the selection of an effective method of the linear ordering of multi-feature objects for the evaluation of sustainable energy development of regions. What is understood as the effective ordering of regions is not only the effective ranking of objects but also their effective clustering. In order to obtain the best results of linear ordering, the authors put forward a multi-stage optimization of the selection of the method of ordering and normalization of diagnostic variables. Analysis of variance was used for the assessment of the object ranking quality, while for the assessment of the object clustering quality, an innovative approach was presented based on the analysis of the empirical distribution of the frequency of occurrence of the distance between objects. The linear ordering method, selected on the basis of the procedure proposed in the paper, was used to assess the energy sustainability of Polish regions. The calculations and analyses were carried out using the set of indicators developed by the authors. They characterize the sustainable energy development of regions in the social, economic, and environmental dimensions.

Some Conflicting Results in the Analytic Hierarchy Process

2019 ◽  
Vol 18 (02) ◽  
pp. 465-486 ◽  
Author(s):  
Ardalan Bafahm ◽  
Minghe Sun
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Decision Makers ◽  
Unexpected Result ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Preference Relations ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

The analytic hierarchy process (AHP) has been believed to be one of the most pragmatic and widely accepted methods for multi-criteria decision making. However, there have been various criticisms of this method within the last four decades. In this study, the results of AHP contradicting common expectations are examined for both the distributive and ideal modes. Specifically, conflicting priorities, conflicting decisions, and conflicting preference relations are investigated. A decision-making scenario is used throughout the paper and an illustrative example constructed from the decision-making scenario is provided to demonstrate each of the conflicting results recommended by AHP. With a parametric formulation of each unexpected result, the possibility of unexpected results of AHP is generalized irrespective of applying the distributive or ideal mode. The logic and causes of these contradictions are also analyzed. This study shows that AHP is not always reliable, and could lead the decision makers towards incorrect decisions.

Multi-Criteria Decision-Making Model using Intuitionistic Fuzzy Entropy and Variable Weight Theory

Mekatronika ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. 18-25
Author(s):  
Omar Ayasrah ◽  
Faiz Mohd Turan
Keyword(s):  
Decision Making ◽  
Fuzzy Entropy ◽  
Decision Makers ◽  
Entropy Measure ◽  
Multi Criteria Decision Making ◽  
Intuitionistic Fuzzy ◽  
Variable Weight ◽  
Intuitionistic Fuzzy Entropy ◽  
Perform Sensitivity Analysis ◽  
Almost All

The aim of this research is to develop a new multi-criteria decision-making method that integrates an intuitionistic fuzzy entropy measure and variable weight theory to be implemented in different fields to provide a solution for MCDM problems when the available information is incomplete. A limited number of studies have considered determining decision maker’s weights by performing objective techniques, and almost all of these researches detected a constant weights for the decision makers. In addition, most of the MCDM studies were not formulated to perform sensitivity analysis. The new method is based on the TOPSIS model with an intuitionistic fuzzy entropy measure in the exponential-related function form and the engagement of the variable weight theory to determine weights for the decision-makers that vary as per attibutes. Lastly, a mathematical model was developed in this research to be as an input for developing the mobile-aplication based method in future for virtual use of the new MCDM method.

Energy Sustainability of Countries

2015 ◽  
pp. 96-117 ◽  
Author(s):  
Evangelos Grigoroudis ◽  
Vassilis S. Kouikoglou ◽  
Yannis A. Phillis
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Energy Development ◽  
The Other ◽  
Energy Sustainability ◽  
Energy Services ◽  
Environmentally Sustainable ◽  
Environmental Requirements ◽  
The One ◽  
Energy Challenge

The provision of adequate, reliable, and affordable energy, in conformity with social and environmental requirements is a vital part of sustainable development. Currently, countries are facing a two-fold energy challenge: on the one hand they should assure the provision of environmentally sustainable energy, while, on the other, energy services should be reliable, affordable, and socially acceptable. To evaluate such aspects of energy services one needs energy sustainability barometers, which provide the means to monitor the impacts of energy policies and assist policymakers in relevant decision making. Although sustainability is an ambiguous, complex, and polymorphous concept, all energy sustainability barometers incorporate the three major sustainability dimensions: social, economic, and environmental. In this chapter, we review three models for assessing the sustainability of energy development of countries: ESI, SAFE, and EAPI. We also present a brief discussion of the results, the applied methodologies, and the underlying assumptions of these sustainability barometers.

A Decision Model for Selecting the Optimum Oil Production Profile Using Multi Criteria Decision Making and Social Choice Theory

2014 ◽  
Author(s):  
Samira Keivanpour ◽  
Hassan Haleh ◽  
Hamed Shakouri Ganjavi
Keyword(s):  
Decision Making ◽  
Social Choice ◽  
Choice Theory ◽  
Social Choice Theory ◽  
Oil Field ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Statistic Model ◽  
Development Plans ◽  
Decision Making Model

Applying a MCDM model has many benefits for decision makers in the course of oil field master development plans preparation and evaluation. In this study, a multi-criteria decision making model is proposed in order to achieve an optimum production profile. The most important criteria and parameters for selection of best production profile are identified. These parameters are derived by several interviews with Iranian oil Industry’s experts. The candidate alternatives for production profile are ranked using a combination of group decision making approach and social choice theory. The degree of group consensus is evaluated by using a statistic model to confirm the validity of decision making model.

scholarly journals Single-Valued Neutrosophic Power Shapley Choquet Average Operators and Their Applications to Multi-Criteria Decision-Making

Mathematics ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 1081 ◽  
Author(s):  
Peng ◽  
Tian ◽  
Zhang ◽  
Song ◽  
Wang
Keyword(s):  
Decision Making ◽  
Programming Model ◽  
Aggregation Operator ◽  
Aggregation Operators ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Neutrosophic Sets ◽  
Preference Information ◽  
Fuzzy Measures ◽  
Correlative Relationship

Single-valued neutrosophic sets (SVNSs), which involve in truth-membership, indeterminacy-membership and falsity-membership, play a significant role in describing the decision-makers’ preference information. In this study, a single-valued neutrosophic multi-criteria decision-making (MCDM) approach is developed based on Shapley fuzzy measures and power aggregation operator that takes a correlative relationship among criteria into account and also simultaneously reduces the effects of abnormal preference information. Firstly, two aggregation operators, namely, generalized weighted single-valued neutrosophic power Shapley Choquet average (GWSVNPSCA) operator and generalized weighted single-valued neutrosophic power Shapley Choquet geometric (GWSVNPSCG) operator, are accordingly defined, and the corresponding properties are discussed as well. Secondly, based on the proposed aggregation operators, an integrated MCDM approach is proposed to effectively solve single-valued neutrosophic problems where the weight information is incompletely known. A programming model is constructed to obtain the optimal Shapley fuzzy measure. Next, the proposed operators are utilized to aggregate the decision-makers’ preference information. Finally, a theoretical example with tourism attraction selection is provided to examine the efficacy of the developed approach, in which the results is found reasonable and credible.

Strategy development with SWOT analysis on manufacturing companies in rapid growth: A ceramic industry application

2018 ◽  
Vol 4 (10) ◽  
pp. 01-12
Author(s):  
Feyza Gurbuz
Keyword(s):  
Decision Making ◽  
Swot Analysis ◽  
Multicriteria Decision Making ◽  
Strategy Management ◽  
Strategy Development ◽  
Multi Criteria Decision Making ◽  
Manufacturing Companies ◽  
Analysis Strategy ◽  
Decision Making Processes ◽  
Potential Strategy

Decision-making is important for organisations, since the consequences of given decisions are identified among the major risk factors for organisations’ future. This study aims to prove the importance of using combined decision-making methods for a successful decision-making for managers. In a ceramics company, multi-criteria decision-making processes were applied for taking quick action for future strategies. SWOT analysis was used for determining potential strategies. After then, multicriteria decision-making methods were used to determine the importance of each potential strategy. Keywords: Multi-criteria decision-making, SWOT analysis, strategy management.

scholarly journals Fuzzy Ensemble of Multi-Criteria Decision Making Methods for Heating Energy Transition in Danish Households

Mathematics ◽  
2021 ◽  
Vol 9 (19) ◽  
pp. 2420
Author(s):  
Qianyun Wen ◽  
Qiyao Yan ◽  
Junjie Qu ◽  
Yang Liu
Keyword(s):  
Decision Making ◽  
Energy Transition ◽  
Cauchy Distribution ◽  
Optimal Choice ◽  
Green Energy ◽  
Decision Makers ◽  
Fuzzy Membership Function ◽  
Multi Criteria Decision Making ◽  
Support Tool ◽  
Heating Systems

More than 110 countries, including 500 cities worldwide, have set the goal of reaching carbon neutrality. Heating contributes to most of the residential energy consumption and carbon emissions. The green energy transition of fossil-based heating systems is needed to reach the emission goals. However, heating systems vary in energy source, heating technology, equipment location, and these complexities make it challenging for households to compare heating systems and make decisions. Hence, a decision support tool that provides a generalized ranking of individual heating alternatives is proposed for households as decision makers to identify the optimal choice. This paper presents an analysis of 13 heating alternatives and 19 quantitative criteria in technological, environmental, and financial aspects, combines ideal solution-based multi-criteria decision making with 6 weighting methods and 4 normalization methods, and introduces ensemble learning with a fuzzy membership function derived from Cauchy distribution to finalize the ultimate ranking. The robustness of the proposed method is verified by three sensitive analyses from different aspects. Air-to-water heat pump, solar heating and direct district heating are the top three rankings in the final result under Danish national average data. A framework is designed to guide decision makers to apply this ranking guideline with their practical, feasible situations.

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