Regional Examination of Energy Investments in Turkey Using an Intuitionistic Fuzzy Method

2021 ◽  
pp. 175-201
Author(s):  
Pınar Darende ◽  
Babak Daneshvar Rouyendegh ◽  
Tahir Khaniyev
Keyword(s):  
Fuzzy Method ◽  
Intuitionistic Fuzzy

scholarly journals Subjective Risk Estimation of the Rare Event

2019 ◽  
Vol 26 (1) ◽  
pp. 103-110
Author(s):  
Hoang Nguyen
Keyword(s):  
Probabilistic Models ◽  
Rare Events ◽  
Practical Knowledge ◽  
Risk Estimation ◽  
Rare Event ◽  
Severe Accident ◽  
Fuzzy Method ◽  
Ship Propulsion ◽  
Intuitionistic Fuzzy ◽  
Subjective Estimation

Abstract In the safety engineering, the most frequently disadvantage in risk estimation is the lack of data. In such cases, we have to rely on subjective estimations made by persons with practical knowledge in the field of interest, i.e. experts. However, in some realistic situations, they may have uncertainty in the perceiving and evaluation of the problem considered or limited knowledge of the rare events, such as the consequences of the seagoing ship propulsion failures. The probabilistic models of the risk estimation turn out to be insufficient in modelling the subjective uncertainty. The fuzzy methods are viewed to be powerful in dealing with ambiguity and uncertainty that can be used to handle with the subjective estimation. This article addresses the intuitionistic fuzzy method in the subjective estimation of the ship propulsion failure consequences as rare event risk. In the article, a subjective model of the ship propulsion risk is developed as scenarios of the different subsequent consequences of loss of ship propulsion function until a seriously severe accident resulting in loss of seaworthiness. The model proposes an approach combining AHP method and intuitionistic fuzzy method to assess the occurrence probability and severe probability of these rare events based on the expert opinions. In order to show the applicability of the proposed model, a study case of the propulsion risk of the container carrier operating on the North Atlantic lines is conducted.

An intuitionistic fuzzy method for social network prediction problems

2016 ◽  
Vol 31 (6) ◽  
pp. 3131-3142
Author(s):  
Liming Yang ◽  
Wei Zhang ◽  
Wenqing Liu ◽  
Yunfang Chen
Keyword(s):  
Social Network ◽  
Fuzzy Method ◽  
Intuitionistic Fuzzy ◽  
Network Prediction ◽  
Prediction Problems

Decision making based on intuitionistic fuzzy preference relations with additive approximate consistency

2020 ◽  
Vol 39 (3) ◽  
pp. 4041-4058
Author(s):  
Fang Liu ◽  
Xu Tan ◽  
Hui Yang ◽  
Hui Zhao
Keyword(s):  
Decision Making ◽  
Decision Makers ◽  
Real Interval ◽  
Preference Relations ◽  
Intuitionistic Fuzzy ◽  
Proposed Model ◽  
Fuzzy Preference Relations ◽  
Novel Concept ◽  
Fuzzy Weights ◽  
Fuzzy Preference

Intuitionistic fuzzy preference relations (IFPRs) have the natural ability to reflect the positive, the negative and the non-determinative judgements of decision makers. A decision making model is proposed by considering the inherent property of IFPRs in this study, where the main novelty comes with the introduction of the concept of additive approximate consistency. First, the consistency definitions of IFPRs are reviewed and the underlying ideas are analyzed. Second, by considering the allocation of the non-determinacy degree of decision makers’ opinions, the novel concept of approximate consistency for IFPRs is proposed. Then the additive approximate consistency of IFPRs is defined and the properties are studied. Third, the priorities of alternatives are derived from IFPRs with additive approximate consistency by considering the effects of the permutations of alternatives and the allocation of the non-determinacy degree. The rankings of alternatives based on real, interval and intuitionistic fuzzy weights are investigated, respectively. Finally, some comparisons are reported by carrying out numerical examples to show the novelty and advantage of the proposed model. It is found that the proposed model can offer various decision schemes due to the allocation of the non-determinacy degree of IFPRs.

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