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.

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.

scholarly journals Application of TOPSIS in the Diagnosis of Vector Borne Diseases

2019 ◽  
Vol 8 (6) ◽  
pp. 5217-5223
Keyword(s):  
Current Model ◽  
Intuitionistic Fuzzy Set ◽  
Fuzzy Topsis ◽  
Topsis Method ◽  
Entropy Weight ◽  
Vector Borne Diseases ◽  
Intuitionistic Fuzzy ◽  
Vector Borne ◽  
Specific Symptoms ◽  
Intuitionistic Fuzzy Topsis

“Intuitionistic Fuzzy Set” (IFS) is used to manage nebulousness and indecision. In current investigation, another intuitionistic fuzzy TOPSIS method is proposed for decision making by utilizing entropy weight. Current model permits estimating the degree of membership and non-membership of various alternatives assessed over a criterion set. A case study has been carried out to diagnosis of vector borne disease. Criteria’s have been selected according to relevant disease and weight has been assigned to them by medical expert’s committee. It has been established that TOPSIS method can diagnose the VBD diseases using specific symptoms as criteria and VBDs as alternatives. The suggested methodology can help in correct and timely diagnosis of VBDs and provides doctors an innovative diagnostic tool (WHO, 2004; WHO, 2014). The result is validated by applying fuzzy VIKOR method.

scholarly journals MULTI-CRITERIA DECISION APPROACH WITH AHP AND IF-TOPSIS METHODS FOR R&D PROJECT SELECTION PROCESS

2019 ◽  
Vol 25 (3) ◽  
pp. 22-32
Author(s):  
EZGİ GÜLER ◽  
SELEN AVCI ◽  
ZERRİN ALADAĞ
Keyword(s):  
Selection Process ◽  
Fuzzy Topsis ◽  
Project Selection ◽  
Decision Makers ◽  
Topsis Method ◽  
Analytic Hierarchy ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Intuitionistic Fuzzy Topsis ◽  
Hierarchy Process

In this study, we examined the project selection process in a mould manufacturing company. We ranked 12 criteria via Analytic Hierarchy Process (AHP) and evaluated the most important 8 criteria. Then we applied Intuitionistic Fuzzy TOPSIS (IF-TOPSIS) method, which is the extended version of the TOPSIS method in intuitionistic fuzzy environment. After expressing the decision makers' evaluations in linguistic terms, we turned them into intuitive fuzzy numbers. In the last step, we obtained the project rankings by calculating the closeness coefficient for 5 projects.

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 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.

scholarly journals MULTI-CRITERIA DECISION APPROACH WITH AHP AND IF-TOPSIS METHODS FOR R&D PROJECT SELECTION PROCESS

2019 ◽  
Vol 25 (3) ◽  
Author(s):  
EZGİ GÜLER ◽  
SELEN AVCI ◽  
ZERRİN ALADAĞ
Keyword(s):  
Selection Process ◽  
Fuzzy Topsis ◽  
Project Selection ◽  
Decision Makers ◽  
Topsis Method ◽  
Analytic Hierarchy ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Intuitionistic Fuzzy Topsis ◽  
Hierarchy Process

In this study, we examined the project selection process in a mould manufacturing company. We ranked 12 criteria via Analytic Hierarchy Process (AHP) and evaluated the most important 8 criteria. Then we applied Intuitionistic Fuzzy TOPSIS<strong> (</strong>IF-TOPSIS) method, which is the extended version of the TOPSIS method in intuitionistic fuzzy environment. After expressing the decision makers' evaluations in linguistic terms, we turned them into intuitive fuzzy numbers. In the last step, we obtained the project rankings by calculating the closeness coefficient for 5 projects

ERP software selection using intuitionistic fuzzy and interval grey number-based MACBETH method

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mustafa Said Yurtyapan ◽  
Erdal Aydemir
Keyword(s):  
Decision Making ◽  
Fuzzy Set ◽  
Selection Process ◽  
Intuitionistic Fuzzy Set ◽  
Decision Makers ◽  
Software Selection ◽  
Content Type ◽  
Intuitionistic Fuzzy ◽  
Expert Opinions ◽  
Erp Software

PurposeEnterprise Resource Planning (ERP) software which is a knowledge-based design on the interconnective communication of business units and information share, ensures that business processes such as finance, production, purchasing, sales, logistics and human resources, are integrated and gathered under one roof. This integrated system allows the company to make fast and accurate decisions and increases its competitiveness. Therefore, for an enterprise, choosing the suitable ERP software is extremely important. The aim of this study is to present new research on the ERP software selection process by clarifying the uncertainties and find suitable software in a computational way.Design/methodology/approachERP selection problem design includes uncertainties on the expert opinions and the criteria values using intuitionistic fuzzy set theory and interval grey-numbers to MACBETH multi criteria decision making method. In this paper, a new interval grey MACBETH method approach is proposed, and the degree of greyness approach is used for clarifying the uncertainties. Using this new approach in which grey numbers are used, it is aimed to observe the changes in the importance of the alternatives. Moreover, the intuitionistic fuzzy set method is applied by considering the importance of expert opinions separately.FindingsThe proposed method is based on quantitative decision making derived from qualitative judgments. The results given under uncertain conditions are compared with the results obtained under crisp conditions of the same methods. With the qualitative levels of experts reflected in the decision process, it is clearly seen that ERP software selection problem area has more effective alternative decision solutions to the uncertain environment, and decision makers should not undervalue the unsteadiness of criteria during ERP software selection process.Originality/valueThis study contributes to the relevant literature by (1) utilizing the MACBETH method in the selection of the ERP software by optimization, and (2) validating the importance of expert opinions with uncertainties on a proper ERP software selection procedure. So, the findings of this study can help the decision-makers to evaluate the ERP selection in uncertain conditions.

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