scholarly journals Risk Analysis of Ports in Maritime Industry in Turkey using FMEA Based Intuitionistic Fuzzy TOPSIS Approach

2018 ◽  
Vol 22 ◽  
pp. 01018 ◽  
Author(s):  
Mine Şenel ◽  
Bilgin Şenel ◽  
Celal Alpay Havle
Keyword(s):  
Risk Analysis ◽  
Fuzzy Topsis ◽  
Generic Model ◽  
Maritime Industry ◽  
Effect Analysis ◽  
Intuitionistic Fuzzy ◽  
Expert Opinions ◽  
Topsis Approach ◽  
Intuitionistic Fuzzy Topsis ◽  
Made In

Today, international trade is extremely important for countries' economies. It is possible to show the ship's transport as one of the most important execution channels of this trade. International commercial maritime transport subject to many rules and regulations carries many risks in processes such as loading, handling and unloading. Commercial ports are the places where these risks are seen intensely. From this point, many risk components in terms of the process in the port, one of the international commercial port in Turkey, based on a risk analysis is tried to be evaluated in this study. Especially, loading and unloading processes are focused with the directions of industrial experts. The main dimensions of the risks in the port are determined via expert opinions, and the sub-criteria of these dimensions are revealed. In this way, a generic model is proposed based on failure mode and effect analysis and the model is digitized using intuitionistic fuzzy TOPSIS. Interpretations are made in the direction of the obtained analysis results.

Reliability as Key Software Quality Metric: A Multi-Criterion intuitionistic Fuzzy-Topsis-Based analysis

2021 ◽  
pp. 2140003
Author(s):  
Priyanka Gupta ◽  
Adarsh Anand ◽  
Mangey Ram
Keyword(s):  
Software Quality ◽  
Intuitionistic Fuzzy Set ◽  
Fuzzy Topsis ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Software Developers ◽  
Quality Metric ◽  
Intuitionistic Fuzzy ◽  
Topsis Approach ◽  
Intuitionistic Fuzzy Topsis

Software Quality has many parameters that govern its value. Of them, usually, Reliability has gained much attention of researchers and practitioners. However, today’s ever-demanding environment poses severe challenges in front of software creators as to continue treating Reliability as one of the most important attributes for governing software quality when other important parameters like re-usability, security and resilience to name a few are also available. Evaluating, ranking and selecting the most approximate attribute to govern the software quality is a complex concern, which technically requires a multi-criteria decision-making environment. Through this paper, we have proposed an Intuitionistic Fuzzy Set-based TOPSIS approach to showcase why reliability is one of the most preferable parameters for governing software quality. In order to collate individual opinions of decision makers; software developers of various firms were administered for rating the importance of various criteria and alternatives.

Selecting a CNC Machine Tool Using the Intuitionistic Fuzzy TOPSIS Approach for FMC

2013 ◽  
Vol 315 ◽  
pp. 196-205 ◽  
Author(s):  
Nguyen Huu Tho ◽  
Siti Zawiah Md Dawal ◽  
Nukman Yusoff ◽  
Farzad Tahriri ◽  
Hideki Aoyama
Keyword(s):  
Decision Making ◽  
Machine Tool ◽  
Fuzzy Topsis ◽  
Cnc Machine Tool ◽  
Cnc Machine ◽  
Tool Selection ◽  
Machine Tool Selection ◽  
Intuitionistic Fuzzy ◽  
Topsis Approach ◽  
Intuitionistic Fuzzy Topsis

Decision making for machine tool selection is intractable work of managers due to the factors involving the vague and imprecise information. The degree of hesitation is considered in the experts judgment. In this paper, an integration of the intuitionistic fuzzy (IF) Entropy and TOPSIS method are utilized to solve the vague information for decision-making process in machine tool selection. In particular, the weights of criteria are calculated by the IF Entropy and the TOPSIS is employed to determine the priority of alternative. The results of the numerical example show this integration is practical and easy to use for engineers and managers in the companies.

scholarly journals The DEA and Intuitionistic Fuzzy TOPSIS Approach to Departments' Performances: A Pilot Study

2011 ◽  
Vol 2011 ◽  
pp. 1-16 ◽  
Author(s):  
Babak Daneshvar Rouyendegh
Keyword(s):  
Data Envelopment Analysis ◽  
Fuzzy Topsis ◽  
Decision Makers ◽  
Classification Model ◽  
Data Envelopment ◽  
Alternative Evaluation ◽  
Intuitionistic Fuzzy ◽  
Evaluation Problem ◽  
Topsis Approach ◽  
Intuitionistic Fuzzy Topsis

This paper processes a unification of Fuzzy TOPSIS and Data Envelopment Analysis (DEA) to select the units with most efficiency. This research is a two-stage model designed to fully rank the organizational alternatives, where each alternative has multiple inputs and outputs. First, the alternative evaluation problem is formulated by Data Envelopment Analysis (DEA) and separately formulates each pair of units. In the second stage, we use the opinion of experts to be applied into a model of group Decision-Making (DM) called the Intuitionistic Fuzzy TOPSIS (IFT) method. The results of both methods are then multiplied to obtain the results. DEA and Intuitionistic Fuzzy TOPSIS ranking do not replace the DEA classification model; rather, it furthers the analysis by providing full ranking in the DEA context for all units by aggregate individual opinions of decision makers for rating the importance of criteria and alternatives.

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