A Multi-Criteria Decision-Making Methodology Suggestion for Turkey Energy Planning Based Type-2 Fuzzy Sets

Energy as an essential basis for the social development has a vital role for survival and development of humankind as an environmental factor. Energy consumption of Turkey has become an important problem through the exorbitant price increase in the fundamental energy source of the world and rapid development in the economy of Turkey. The necessity to create correct decision-making processes related to future in order to eliminate this problem has appeared as well. For that reason, views of decision-makers upon the relative importance of selection criteria were determined, using analytical hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) based upon type-2 fuzzy sets (FSs) that were used in order to list the best energy alternatives

A HIERARCHICAL STRUCTURE FOR SHIP DIESEL ENGINE TROUBLE-SHOOTING PROBLEM USING FUZZY AHP AND FUZZY VIKOR HYBRID METHODS

Although considerable technical preventive measures have been taken in marine diesel engine and auxiliary systems, it is possible to observe unexpected faults in the course of the operating conditions. These faults can become so severe that they can cause losses which can be irreversible. This study aims to present Fuzzy Analytic Hierarchy Process (AHP) and VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje) methods applied for the expert failure detection of marine diesel engine and auxiliary systems. In this study, the failures of marine diesel engine have been revealed and prioritized. Accordingly, the section of the machine from which the failures primarily arise has been determined. At the same time, the importance of the effective use of time in determining and responding to the failures has been indicated. By means of the evaluation of decision-making groups, the system most severely affected by failures has been decided

A novel fuzzy multi-criteria decision-making methodology based upon the spherical fuzzy sets with a real case study

The choice of roll stabilization system is critical for many types of ships. For warships where operational activities are fast and the concept of time is very effective, determining the most appropriate of these systems is of particular importance. Some operations, such as the landing of the helicopter on board, are critical for naval ships. Unwanted rolling motion makes this difficult. In addition, the performance of the crew may be insufficient due to the effect of roll movement. Therefore, the determination of the most effective stabilizing device for naval ships was highly related to the rapid reduction of roll motion. With increasing technological studies, it became important which type of stabilizing system is more suitable for which type of naval ship. This study evaluates the relationship between criteria and alternatives and selects the most effective roll stabilizer system for naval ships according to expert opinion. Extension of TOPSIS method with interval-valued spherical fuzzy sets used to list the stabilizing systems alternatives for naval ships. When the obtained results were evaluated, the effect of the criteria on the alternative system types examined, Active Fin found to be the most functional alternative

A fuzzy multi-criteria decision making methodology based upon the interval Type-2 fuzzy sets for evaluating renewable energy alternatives in Turkey

Energy is substantial for social development and has an essential role for the survival and development of human as an environmental factor. Due to the serious increase ofthe world’s primary energy price and rapid development of Turkey’s economy, energy consumption of Turkey has become a major problem. For that purpose, opinions of the decision makers upon the relative importance of selection criteria are determined by using a fuzzy AHP procedure based upon type-2 fuzzy sets, and fuzzy multi-criteria decision-making based upon the interval type-2 TOPSIS method is used to rank the best renewable alternative energy. In this paper, a fuzzy multi criteria decision making (MCDM) methodology was proposed to determine the best renewable energy alternatives for Turkey, because type-2 fuzzy sets provide additional degrees of independence to represent the uncertainty and the fuzziness of real world applications. The results showed that wind was the best alternative for Turkey’s energy investments, as being followed subsequently by solar, biomass, geothermal, hydraulic and hydrogen. The results were based upon the opinions of three energy planning experts who ranked the energy alternatives according to the ten criteria we have selected. First published online: 21 Sep 201

Modeling Potential Future Energy Demand for Turkey in 2034 by Using an Integrated Fuzzy Methodology

Since the decisions made regarding the future include uncertainty for operations, alternative predictions are needed to be developed in such decision-making processes. Accurate forecasting is a great help for companies in making the best decisions in terms of unit commitment, production, and maintenance planning. It is necessary for the companies to have prior foresight of future demand with adequate accuracy. Some data mining algorithms play the greatest role in predicting the demand forecasting. As a regular data-driven method, artificial neural networks (ANNs) are popular in energy forecasting. This paper investigated the application of the adaptive network based fuzzy inference system (ANFIS) as a forecasting tool for predicting the energy demand in Turkey. The benefit of the proposed model is forecasting energy needs through the evaluation of ANFIS application using data sets processed with principle component analysis (PCA) and collected from the energy forecast shootout (EFS) and Ministry of Natural Resources Turkey. The results showed that the hybrid ANFIS model based upon fuzzy logic (FL) and ANN performed efficiently in term of forecast accuracy. Thus, it could be regarded as an alternative method in energy forecasting. Finally, the application of ANFIS in a long term energy forecasting was provided, and the results were interpreted

Fuzzy multicriteria selection among cogeneration systems: A real case application

Increase in population and energy demands are causing more energy consumption in Turkey. As a parallel of increasing energy demands, Turkey's carbon emissions are on the rise, per capita energy consumption and per capita carbon emissions are trending upwards. Because of the economic and environmental reasons, cogeneration system is very important for Turkey. In addition to the energy and cost savings, the benefits of cogeneration system are mainly concentrated from lower air pollutants emissions to the atmospheric environment, in particular carbon dioxide and nitrous oxide. The main aim of this article is to identify and discuss some of the important and critical decision criteria to select the best cogeneration system providing the most satisfaction with the help of fuzzy AHP (analytic hierarchy process) and fuzzy TOPSIS (technique for order preference by similarity to ideal solution) methods for a prominent hotel in Istanbul. The decision process is analyzed with a real case application for one of the biggest hotel's needs in Istanbul. Also, Turkey wants to select the most appropriate cogeneration system to meet of hotel' s electricity and heat requirements. By the way, the results of fuzzy AHP are compared with the results of fuzzy TOPSIS. (C) 2013 Elsevier B.V. All rights reserved

AN INTEGRATED FUZZY MCDM MODEL FOR EVALUATION AND SELECTION OF A SUITABLE TUGBOAT

Tugboats are of vital importance in ports where a significant portion of world trade takes place. Selection of a tugboat that suitable for different operations in a port is a challenging problem that requires many different criteria to be evaluated at the same time. This selection requires high experience as well as technical knowledge of the tugboats and the operations to be carried out. In the present paper, an integrated model for evaluation and selection of tugboats is given. Based on the statistical data available in the study, assessment of the effect of different criteria on different harbour tugboats categorized according to the propulsion systems were carried out. The criteria for the tugboat alternatives were assessed through a questionnaire by subject-matter-experts containing comparative technical, financial and operational questions. The weights of each criteria were calculated using fuzzy Shannon's entropy and fuzzy TOPSIS was utilized to rank the alternatives. Finally, the most suitable tugboat according to propulsion system was selected

A HIERARCHICAL STRUCTURE FOR SHIP DIESEL ENGINE TROUBLE-SHOOTING PROBLEM USING FUZZY AHP AND FUZZY VIKOR HYBRID METHODS

Although considerable technical preventive measures have been taken in marine diesel engine and auxiliary systems, it is possible to observe unexpected faults in the course of the operating conditions. These faults can become so severe that they can cause losses which can be irreversible. This study aims to present Fuzzy Analytic Hierarchy Process (AHP) and VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje) methods applied for the expert failure detection of marine diesel engine and auxiliary systems. In this study, the failures of marine diesel engine have been revealed and prioritized. Accordingly, the section of the machine from which the failures primarily arise has been determined. At the same time, the importance of the effective use of time in determining and responding to the failures has been indicated. By means of the evaluation of decision-making groups, the system most severely affected by failures has been decided

Application of fuzzy VIKOR method for the evaluation and selection of a suitable tugboat

Tugboats have a very critical role in numerous fields of the maritime sector. There are many types of tugboats with different characteristics that give superior results in different operations. Choosing the most suitable tugboat type for the desired operation is a multi-criteria problem that requires expertise. The design features of the tugboat and the propulsion system are important features used for classification. In addition, operational, environmental, and financial factors are also of considerable importance. In this article, determined criteria for tugboats classified according to their propulsion systems have been evaluated by subject-matter experts through a questionnaire. Fuzzy Shannon Entropy has been used to calculate the weights of each determined criterion. Then, fuzzy VIKOR was selected to rank the alternatives due to good compatibility with Entropy and the ability to adequately distinguish the table values that compose the ranking. Finally, the most suitable tugboat type was chosen in accordance with these results