scholarly journals Analyzing TRIZ-based strategic priorities of customer expectations for renewable energy investments with interval type-2 fuzzy modeling

2021 ◽  
Vol 7 ◽  
pp. 95-108
Author(s):  
Ya-xiong Li ◽  
Zhong-xin Wu ◽  
Hasan Dinçer ◽  
Hakan Kalkavan ◽  
Serhat Yüksel
Keyword(s):  
Renewable Energy ◽  
Fuzzy Modeling ◽  
Customer Expectations ◽  
Interval Type

Evaluation of Renewable Energy Alternatives using Hesitant Fuzzy TOPSIS and Interval Type-2 Fuzzy AHP

2015 ◽  
pp. 191-224 ◽  
Author(s):  
Başar Öztayşi ◽  
Cengiz Kahraman
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Fuzzy Sets ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Decision Makers ◽  
Priority Weights ◽  
Interval Type

The selection among renewable energy alternatives is a fuzzy multicriteria problem with many conflicting criteria under uncertainty. In many decision-making problems, the Decision Makers (DM) define their preference in linguistic form since it is relatively difficult to provide exact numerical values during the evaluation of alternatives. Therefore, in many studies, fuzzy logic is successfully used to model this kind of uncertainty. In this chapter, the authors try to capture this uncertainty by using interval type-2 fuzzy sets and hesitant fuzzy sets. They propose a fuzzy multicriteria method for the evaluation of renewable energy alternatives, in which the priority weights of the criteria are determined by interval type-2 fuzzy AHP, and the alternatives are ranked using hesitant fuzzy TOPSIS. A case study is also given.

scholarly journals Selecting the House-of-Quality-Based Energy Investment Policies for the Sustainable Emerging Economies

2019 ◽  
Vol 11 (13) ◽  
pp. 3514 ◽  
Author(s):  
Tang ◽  
Dinçer
Keyword(s):  
Emerging Economies ◽  
Quality Evaluation ◽  
Sustainable Energy ◽  
House Of Quality ◽  
Energy Investment ◽  
Investment Policies ◽  
Customer Expectations ◽  
Technical Requirements ◽  
Interval Type

: The purpose of the study is to evaluate the sustainable energy investments based on house of quality. For that, a hybrid decision-making approach to interval type 2 (IT2) fuzzy sets under the hesitancy is proposed. The novelties of the study are to construct an integrated IT2-based modelling and a set of dimensions and criteria for the sustainable energy investments for the emerging countries. The DEMATEL method is used for weighting the customer expectations of sustainable energy investments. The TOPSIS method is applied for ranking the house-of-quality-based investment policies with the technical requirements for the emerging economies. The results show that the capacity issue of energy industry is the most prominent issue for the technical requirements of energy investments. However, it is concluded that increasing communication with the capacity facilities is the most valuable strategy based on the house of quality evaluation. The results are also discussed for further studies and sustainable policies.

scholarly journals Vibration Control Design for a Plate Structure with Electrorheological ATVA Using Interval Type-2 Fuzzy System

2017 ◽  
Author(s):  
Chih-Jer Lin ◽  
Chun-Ying Lee ◽  
Ying Liu
Keyword(s):  
Electric Field ◽  
Vibration Control ◽  
Fuzzy Sets ◽  
Fuzzy Modeling ◽  
Smart Structure ◽  
Thin Plates ◽  
Fuzzy Controllers ◽  
Interval Type

This study presents a vibration control using actively tunable vibration absorbers (ATVA) to suppress vibration of a thin plate. The ATVA’s is made of a sandwich hollow structure embedded with the electrorheological fluid (ERF). ERF is considered to be one of the most important smart fluids and it is suitable to be embedded in a smart structure due to its controllable viscosity property. ERF’s apparent viscosity can be controlled in response to the electric field and the change is reversible in 10 microseconds. Therefore, the physical properties of the ERF-embedded smart structure, such as the stiffness and damping coefficients, can be changed in response to the applied electric field. A mathematical model is difficult to be obtained to describe the exact characteristics of the ERF embedded ATVA because of the nonlinearity of ERF’s viscosity. Therefore, a fuzzy modeling and experimental validations of ERF-based ATVA from stationary random vibrations of thin plates are presented in this study. Because Type-2 fuzzy sets generalize Type-1 fuzzy sets so that more modelling uncertainties can be handled, a semi-active vibration controller is proposed based on Type-2 fuzzy sets. To investigate the different performances by using different types of fuzzy controllers, the experimental measurements employing type-1 fuzzy and interval type-2 fuzzy controllers are implemented by the Compact RIO embedded system. The fuzzy modeling framework and solution methods presented in this work can be used for design, performance analysis, and optimization of ATVA from stationary random vibration of thin plates.

Evaluation of Renewable Energy Alternatives Using Hesitant Fuzzy TOPSIS and Interval Type-2 Fuzzy AHP

2017 ◽  
pp. 1378-1412 ◽  
Author(s):  
Başar Öztayşi ◽  
Cengiz Kahraman
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Fuzzy Sets ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Decision Makers ◽  
Priority Weights ◽  
Interval Type

The selection among renewable energy alternatives is a fuzzy multicriteria problem with many conflicting criteria under uncertainty. In many decision-making problems, the Decision Makers (DM) define their preference in linguistic form since it is relatively difficult to provide exact numerical values during the evaluation of alternatives. Therefore, in many studies, fuzzy logic is successfully used to model this kind of uncertainty. In this chapter, the authors try to capture this uncertainty by using interval type-2 fuzzy sets and hesitant fuzzy sets. They propose a fuzzy multicriteria method for the evaluation of renewable energy alternatives, in which the priority weights of the criteria are determined by interval type-2 fuzzy AHP, and the alternatives are ranked using hesitant fuzzy TOPSIS. A case study is also given.

scholarly journals Vibration Control Design for a Plate Structure with Electrorheological ATVA Using Interval Type-2 Fuzzy System

2017 ◽  
Author(s):  
Chih-Jer Lin ◽  
Chun-Ying Lee ◽  
Ying Liu
Keyword(s):  
Electric Field ◽  
Vibration Control ◽  
Fuzzy Sets ◽  
Fuzzy Modeling ◽  
Smart Structure ◽  
Thin Plates ◽  
Fuzzy Controllers ◽  
Interval Type

This study presents a vibration control using actively tunable vibration absorbers (ATVA) to suppress vibration of a thin plate. The ATVA’s is made of a sandwich hollow structure embedded with the electrorheological fluid (ERF). ERF is considered to be one of the most important smart fluids and it is suitable to be embedded in a smart structure due to its controllable viscosity property. ERF’s apparent viscosity can be controlled in response to the electric field and the change is reversible in 10 microseconds. Therefore, the physical properties of the ERF-embedded smart structure, such as the stiffness and damping coefficients, can be changed in response to the applied electric field. A mathematical model is difficult to be obtained to describe the exact characteristics of the ERF embedded ATVA because of the nonlinearity of ERF’s viscosity. Therefore, a fuzzy modeling and experimental validations of ERF-based ATVA from stationary random vibrations of thin plates are presented in this study. Because Type-2 fuzzy sets generalize Type-1 fuzzy sets so that more modelling uncertainties can be handled, a semi-active vibration controller is proposed based on Type-2 fuzzy sets. To investigate the different performances by using different types of fuzzy controllers, the experimental measurements employing type-1 fuzzy and interval type-2 fuzzy controllers are implemented by the Compact RIO embedded system. The fuzzy modeling framework and solution methods presented in this work can be used for design, performance analysis, and optimization of ATVA from stationary random vibration of thin plates.

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