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.

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

scholarly journals Extended TOPSIS Method for Supplier Selection under Picture Hesitant Fuzzy Environment Using Linguistic Variables

2021 ◽  
Vol 2021 ◽  
pp. 1-28
Author(s):  
Rabia Ambrin ◽  
Muhammad Ibrar ◽  
Manuel De La Sen ◽  
Ihsan Rabbi ◽  
Asghar Khan
Keyword(s):  
Fuzzy Numbers ◽  
Fuzzy Topsis ◽  
Vital Role ◽  
Decision Makers ◽  
Linguistic Variables ◽  
Comparison Analysis ◽  
Topsis Method ◽  
Practical Applications ◽  
Fuzzy Environment ◽  
Intuitionistic Fuzzy Topsis

The main purpose of this planned manuscript is to establish an algorithm for the solution of multiattribute decision-making (MADM) issues, where the experts utilizing linguistic variables provide the information about attributes in the form of picture hesitant fuzzy numbers. So, for the solution of these kinds of issues, we develop the TOPSIS algorithm under picture hesitant fuzzy environment using linguistic variables, which plays a vital role in practical applications, notably MADM issues, where the decision information is arranged by the decision-makers (DMs) in the form of picture hesitant fuzzy numbers. Finally, a sample example is given as an application and appropriateness of the planned method. At the end, we conduct comparison analysis of the planned method with picture fuzzy TOPSIS method and intuitionistic fuzzy TOPSIS method.

scholarly journals The Application of Fuzzy Analytic Hierarchy Process in Sustainable Project Selection

2020 ◽  
Vol 12 (20) ◽  
pp. 8314 ◽  
Author(s):  
Rakan Alyamani ◽  
Suzanna Long
Keyword(s):  
Information Transfer ◽  
Selection Criteria ◽  
Selection Process ◽  
Project Selection ◽  
Project Managers ◽  
Decision Makers ◽  
Relative Importance ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Sustainable Projects

The project selection process is a crucial step in sustainable development. Effective sustainable development depends on the ability to select the appropriate sustainable project to implement to ensure that the desired goals are met. Some of the most common characteristics or criteria used in evaluating sustainable projects include novelty, uncertainty, skill and experience, technology information transfer, and project cost. Prioritizing these criteria based on relative importance helps project managers and decision makers identify elements that require additional attention, better allocate resources, as well as improve the selection process when evaluating different sustainable project alternatives. The aim of this research is to use the fuzzy analytic hierarchy process (FAHP) methodology in which fuzzy numbers are utilized to realistically represent human judgment to rank the different project criteria based on relative importance and impact on sustainable projects. The results from the FAHP show that the most important criterion to consider in sustainable project selection is project cost, followed by novelty and uncertainty as the second and third most important criteria, respectively. The two least important criteria out of the total of five examined in this research were the skill and experience and technology information transfer, respectively. These results will help project managers and decision makers identify selection criteria with higher weights of importance. Given that the selection criteria chosen for this research are not limited to the evaluation of a specific type of sustainable projects or a specific location, they can be used to evaluate different types of sustainable projects in different environments and locations.

scholarly journals An AHP-Topsis Integrated Model for Selecting the Most Appropriate Tomography Equipment

2016 ◽  
Vol 15 (04) ◽  
pp. 861-885 ◽  
Author(s):  
Miguel Angel Ortiz Barrios ◽  
Fabio De Felice ◽  
Kevin Parra Negrete ◽  
Brandon Aleman Romero ◽  
Adriana Yaruro Arenas ◽  
...  
Keyword(s):  
Medical Equipment ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Analytic Hierarchy ◽  
Crucial Step ◽  
Complex Decision ◽  
Mcdm Method ◽  
Hierarchy Process

Selecting a suitable Multi Criteria Decision-Making (MCDM) method is a crucial step in selecting appropriate medical equipment. The aim of the research is to define the most appropriate tomography equipment through the integration of the Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. A hybrid model is presented. The AHP is used to define the weights of each criterion and sub-criterion through qualitative comparisons. Then, TOPSIS is used to evaluate the purchase options. This research provides decision makers with a scientific and rigorous decision support system useful in strategic and complex decision. A numerical example is also presented.

Note on the Application of Intuitionistic Fuzzy TOPSIS Model for Dealing With Dependent Attributes

2019 ◽  
Vol 6 (2) ◽  
pp. 20-32
Author(s):  
Daniel Osezua Aikhuele
Keyword(s):  
State Of The Art ◽  
Fuzzy Topsis ◽  
The State ◽  
Topsis Method ◽  
Intuitionistic Fuzzy ◽  
Normalization Methods ◽  
The One ◽  
Intuitionistic Fuzzy Topsis ◽  
Topsis Model

In this article, the effectiveness of the intuitionistic fuzzy TOPSIS model (IF-TOPSISEF) is tested for addressing, capturing, and resolving the effect of correlation between attributes, otherwise called the dependency of attributes. This was achieved by using several normalization methods in the implementation of the IF-TOPSISEF model. Furthermore, the result of the computation is compared with the one obtained when the normalization methods are implemented using a traditional TOPSIS model. The study contributes and extends the state of the art in TOPSIS method study, by addressing, capturing and resolving the effect of correlation between attributes otherwise called dependency of attributes.

Optimal Cloud-Path Selection in Mobile Cloud Offloading Systems Based on QoS Criteria

2013 ◽  
Vol 5 (4) ◽  
pp. 30-47 ◽  
Author(s):  
Huaming Wu ◽  
Qiushi Wang ◽  
Katinka Wolter
Keyword(s):  
Historical Data ◽  
Cloud Service ◽  
Fuzzy Topsis ◽  
Path Selection ◽  
Cloud Services ◽  
Analytic Hierarchy ◽  
Fuzzy Environment ◽  
Order Preference ◽  
Hierarchy Process

Recently, there emerge a variety of clouds in sky and thus, several similar cloud services (from different cloud venders) can be provided to a mobile end device. The goal of cloud-path selection is to find an optimal cloud-path pair between the mobile device and a cloud among a certain class of clouds that provide the same service, in order to carry out the offloaded computation tasks. It is easy to choose the optimal cloud-path to save execution time incurred by offloading program to cloud when considering only one factor. However, there are many Quality of Service (QoS)-based criteria such as performance, bandwidth, financial, security and availability that need to be considered when making final decisions. In this paper, a multiple criteria decision analysis approach based on the analytic hierarchy process (AHP) and the technique for order preference by similarity to ideal solution (TOPSIS) in a fuzzy environment is proposed to decide which cloud is the most suitable one for offloading. The AHP is used to determine the weights of the criteria for cloud-path selection, while fuzzy TOPSIS is to obtain the final ranking of alternative clouds. The numerical analysis is performed to evaluate the model. Furthermore, a method based on historical data of the mobile device’s experiences is used to evaluate the importance weights of the alternative cloud service, when it is challenge to measure and acquire the parameters of criteria timely in practical systems.

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.

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.

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