A Risk Prioritization Method Based on Interval-Valued Pythagorean Fuzzy TOPSIS and Its Application for Prioritization of the Risks Emerged at Hospitals During the Covid-19 Pandemic

2021 ◽  
pp. 147-165
Author(s):  
Muhammet Gul ◽  
Melih Yucesan
Keyword(s):  
Fuzzy Topsis ◽  
Risk Prioritization ◽  
Prioritization Method ◽  
Interval Valued

Dynamic prioritization of equipment and critical failure modes

Kybernetes ◽  
2019 ◽  
Vol 48 (9) ◽  
pp. 1913-1941 ◽  
Author(s):  
Mohamadreza Mahmoudi ◽  
Hannan Amoozad Mahdiraji ◽  
Ahmad Jafarnejad ◽  
Hossein Safari
Keyword(s):  
Failure Mode ◽  
Failure Modes ◽  
Fuzzy Topsis ◽  
Aggregation Operator ◽  
Power Weight ◽  
Equipment Failure ◽  
Content Type ◽  
Risk Prioritization ◽  
Intuitionistic Fuzzy ◽  
Interval Valued

Purpose The purpose of this paper is to identify critical equipment by dynamically ranking them in interval-valued intuitionistic fuzzy (IVIF) circumstances. Accordingly, the main drawbacks of the conventional failure mode and effects analysis (FMEA) are eliminated. To this end, the authors have presented the interval-valued intuitionistic fuzzy condition-based dynamic weighing method (IVIF-CBDW). Design/methodology/approach To realize the objective, the authors used the IVIF power weight Heronian aggregation operator to integrate the data extracted from the experts’ opinions. Moreover, the multi-attributive border approximation area comparison (MABAC) method is applied to rank the choices and the IVIF-CBDW method to create dynamic weights appropriate to the conditions of each equipment/failure mode. The authors proposed a robust FMEA model where the main drawbacks of the conventional risk prioritization number were eliminated. Findings To prove its applicability, this model was used in a case study to rank the equipment of a HL5000 crane barge. Finally, the results are compared with the traditional FMEA methods. It is indicated that the proposed model is much more flexible and provides more rational results. Originality/value In this paper, the authors have improved and used the IVIF power weight Heronian aggregation operator to integrate information. Furthermore, to dynamically weigh each equipment (failure mode), they presented the IVIF-CBDW method to determine the weight of each equipment (failure mode) based on its equipment conditions in the O, S and D criteria and provide the basis for the calculation. IVIF-CBDW method is presented in this study for the first time. Moreover, the MABAC method has been performed, to rank the equipment and failure mode. To analyze the information, the authors encoded the model presented in the robust MATLAB software and used it in a real sample of the HL5000 crane barge. Finally, to evaluate the reliability of the model presented in the risk ranking and its rationality, this model was compared with the conventional FMEA, fuzzy TOPSIS method, the method of Liu and the modified method of Liu.

scholarly journals Evaluation of Investment Opportunities With Interval-Valued Fuzzy Topsis Method

2020 ◽  
Vol 5 (1) ◽  
pp. 461-474 ◽  
Author(s):  
Naiyer Mohammadi Lanbaran ◽  
Ercan Celik ◽  
Muhammed Yiğider
Keyword(s):  
Decision Making ◽  
Fuzzy Set ◽  
Estimation Error ◽  
Fuzzy Topsis ◽  
Optimal Choice ◽  
Topsis Method ◽  
Relative Closeness ◽  
Ideal Solutions ◽  
Fuzzy Logic Theory ◽  
Interval Valued

AbstractThe purpose of this study is extended the TOPSIS method based on interval-valued fuzzy set in decision analysis. After the introduction of TOPSIS method by Hwang and Yoon in 1981, this method has been extensively used in decision-making, rankings also in optimal choice. Due to this fact that uncertainty in decision-making and linguistic variables has been caused to develop some new approaches based on fuzzy-logic theory. Indeed, it is difficult to achieve the numerical measures of the relative importance of attributes and the effects of alternatives on the attributes in some cases. In this paper to reduce the estimation error due to any uncertainty, a method has been developed based on interval-valued fuzzy set. In the suggested TOPSIS method, we use Shannon entropy for weighting the criteria and apply the Euclid distance to calculate the separation measures of each alternative from the positive and negative ideal solutions to determine the relative closeness coefficients. According to the values of the closeness coefficients, the alternatives can be ranked and the most desirable one(s) can be selected in the decision-making process.

Participative Banking in Turkey

2020 ◽  
pp. 141-154
Author(s):  
Serpil Altınırmak ◽  
Cumhur Şahin ◽  
Çağlar Karamaşa ◽  
Basil Oluch Okoth
Keyword(s):  
Performance Analysis ◽  
Financial Institutions ◽  
Commercial Banks ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Islamic Banking ◽  
Islamic Banks ◽  
Equal Rights ◽  
Profitability Ratios ◽  
Interval Valued

Islamic banks were established as private financial institutions in Turkey based on a law enacted in 1983. Private financial institutions succeeded to have equal rights with commercial banks subject to banking law in 2001. The name of private financial institutions was changed to participation banks in 2005 because of being insufficient in terms of Islamic banking transactions. This chapter includes a performance analysis of participation banks listed in Turkey by considering the efficiency and profitability ratios within the period of 2007-2016 using interval-valued pythagorean fuzzy AHP based fuzzy TOPSIS. Three participation banks, Albaraka Türk, Türkiye Finans, and Kuveyt Turk, were examined for the mentioned period.

Interval-Valued Intuitionistic Fuzzy Topsis-Based Model for Troubleshooting Marine Diesel Engine Auxiliary System

2017 ◽  
Vol Vol 159 (A1) ◽  
Author(s):  
D O Aikhuele ◽  
F M Turan ◽  
S M Odofin ◽  
R H Ansah
Keyword(s):  
Diesel Engine ◽  
Score Function ◽  
Fuzzy Topsis ◽  
Marine Diesel Engine ◽  
Ideal Solution ◽  
Intuitionistic Fuzzy ◽  
Marine Diesel ◽  
Intuitionistic Fuzzy Topsis ◽  
Engine Systems ◽  
Interval Valued

In this paper, we present an interval-valued Intuitionistic Fuzzy TOPSIS model, which is based on an improved score function for detecting failure in a marine diesel engine auxiliary system, using groups of experts’ opinions to detect the root cause of failure in the engine system and the area most affected by failures in the diesel engine. The improved score function has been used for the computation of the separation measures from the intuitionistic fuzzy positive ideal solution (IFPIS) and intuitionistic fuzzy negative ideal solution (IFNIS) of alternatives while the criteria weight have been determined using an intuitionistic fuzzy entropy. The study is aimed at providing an alternative method for the identification and analysis of failure modes in engine systems. The results from the study show that although detection of failures in Engines is quite difficult to identify due to the dependency of the engine systems on each other, however using intuitionistic fuzzy multi-criteria decision-making method the faults/failure can easily be diagnosed.

A Method for Ranking Products Through Online Reviews Based on Sentiment Classification and Interval-Valued Intuitionistic Fuzzy TOPSIS

2017 ◽  
Vol 16 (06) ◽  
pp. 1497-1522 ◽  
Author(s):  
Yang Liu ◽  
Jian-Wu Bi ◽  
Zhi-Ping Fan
Keyword(s):  
Fuzzy Topsis ◽  
Online Reviews ◽  
Sentiment Classification ◽  
Support Vector ◽  
Product Reviews ◽  
Purchase Decisions ◽  
Intuitionistic Fuzzy ◽  
Online Product Reviews ◽  
Intuitionistic Fuzzy Topsis ◽  
Interval Valued

Studies have shown that online product reviews significantly affect consumer purchase decisions. However, it is difficult for the consumer to read online product reviews one by one because the number of online reviews is very large. Thus, to facilitate consumer purchase decisions, how to rank products through online reviews is a valuable research topic. This paper proposes a method for ranking products through online reviews based on sentiment classification and the interval-valued intuitionistic fuzzy Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). The method consists of two parts: (1) identifying sentiment orientations of the online reviews based on sentiment classification and (2) ranking alternative products based on interval-valued intuitionistic fuzzy TOPSIS. In the first part, the online reviews of the alternative products concerning multiple attributes are preprocessed, and an algorithm based on support vector machine and one-versus-one strategy is developed for classifying the sentiment orientations of online reviews into three categories: positive, neutral, and negative. In the second part, based on the percentages of the online reviews with different sentiment orientations and the numbers of online reviews of different products crawled from the website, an interval-valued intuitionistic fuzzy number is constructed to represent the performance of an alternative product with respect to the product attribute. Additionally, the interval-valued intuitionistic fuzzy TOPSIS method is employed to determine a ranking of the alternative products. Finally, a case analysis is provided to illustrate the application of the proposed method.

Application of interval valued intuitionistic fuzzy TOPSIS for flood management

2020 ◽  
Vol 38 (1) ◽  
pp. 873-881
Author(s):  
Lazim Abdullah ◽  
Chunmin Goh ◽  
Nurnadiah Zamri ◽  
Mahmod Othman
Keyword(s):  
Fuzzy Topsis ◽  
Flood Management ◽  
Intuitionistic Fuzzy ◽  
Intuitionistic Fuzzy Topsis ◽  
Interval Valued
Sign in / Sign up

Export Citation Format

Share Document