An integrated approach for the selection of software requirements using fuzzy AHP and fuzzy TOPSIS method

2017 ◽  
Author(s):  
Arashiya Afrin ◽  
Mohd. Sadiq
Keyword(s):  
Fuzzy Ahp ◽  
Integrated Approach ◽  
Fuzzy Topsis ◽  
Software Requirements ◽  
Topsis Method ◽  
Selection Of

scholarly journals A TWO PHASED FUZZY METHODOLOGY FOR SELECTION AMONG MUNICIPAL PROJECTS

2015 ◽  
Vol 21 (3) ◽  
pp. 405-422 ◽  
Author(s):  
Mehmet Emin BAYSAL ◽  
İhsan KAYA ◽  
Cengiz KAHRAMAN ◽  
Ahmet SARUCAN ◽  
Orhan ENGIN
Keyword(s):  
Decision Making ◽  
Fuzzy Ahp ◽  
Multicriteria Decision Making ◽  
Fuzzy Topsis ◽  
Community Life ◽  
Topsis Method ◽  
Complex Processes ◽  
Central District ◽  
Selection Of

A municipality improves the quality of community life through its projects and actions. However, project selection and prioritization by municipalities are highly complex processes. Therefore, multicriteria decision making (MCDM) methodologies are very suitable for determining the best alternative. Recently, some studies have concentrated on the selection of the best project alternatives. In this paper, a two phased fuzzy MCDM methodology is proposed for the selection among municipal projects. In the first phase, fuzzy TOPSIS method is used to select the main project group and then fuzzy AHP is used to select the best sub-municipal project. The application of the suggested methodology has been made at the central district municipality in Konya, Turkey.

An integrated supplier selection approach incorporating decision maker’s risk attitude using ANN, AHP and TOPSIS methods

Kybernetes ◽  
2019 ◽  
Vol 49 (9) ◽  
pp. 2263-2284 ◽  
Author(s):  
Chunxia Yu ◽  
Zhiqin Zou ◽  
Yifan Shao ◽  
Fengli Zhang
Keyword(s):  
Supplier Selection ◽  
Selection Process ◽  
Fuzzy Ahp ◽  
Evaluation Criteria ◽  
Risk Attitude ◽  
Integrated Approach ◽  
Fuzzy Topsis ◽  
Ann Model ◽  
Content Type ◽  
Selection Approach

Purpose The purpose of this paper is to develop a novel integrated supplier selection approach incorporating decision maker’s risk attitude using the artificial neural network (ANN), analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) methods. Design/methodology/approach In the proposed approach, the ANN model is used to classify decision maker’s risk attitude; the fuzzy AHP method is used to determine the relative weights of evaluation criteria; and the fuzzy TOPSIS method is used to evaluate ratings of suppliers. Finally, experiments are conducted to verify the feasibility and efficiency of the proposed integrated approach. Findings Experiments results show that the proposed integrated approach is effective and efficient to help decision makers to select suitable suppliers according to their risk attitudes. Originality/value The aim of this paper is to develop a novel integrated supplier selection approach incorporating decision maker’s risk attitude using the ANN, AHP and TOPSIS methods. The decision maker’s risk attitude toward procurement transaction is originally considered in supplier selection process.

Selection of Digital Marketing Tools Using Fuzzy AHP-Fuzzy TOPSIS

2017 ◽  
pp. 587-616 ◽  
Author(s):  
Ümran Şengül ◽  
Miraç Eren
Keyword(s):  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Marketing Strategies ◽  
The Other ◽  
Digital Marketing ◽  
Knowledge Based ◽  
The Social ◽  
Technological Developments ◽  
Marketing Tool ◽  
Selection Of

Technological developments resulted in creative, faster, target-oriented and knowledge-based marketing strategies more prone to interactions. Digital marketing is an example of marketing types arisen by technological developments. Digital marketing tools are rapidly growing since they can be performed through internet; they are faster and thus have an ascending trend. The amount of investment to be made to each digital marketing tool has become a significant decision making problems for the businesses. In this chapter, Fuzzy AHP and Fuzzy TOPSIS techniques were employed for the selection of digital marketing tools. Multi-criteria analysis revealed the Remarketing advertising as the most suitable digital marketing tool. Additionally, the social media advertising, advertising-per-impression, advertising-per-click, affiliate advertising, banner marketing and email-advertising were respectively found to be as the other significant marketing tools.

Selection of Digital Marketing Tools Using Fuzzy AHP-Fuzzy TOPSIS

2016 ◽  
pp. 97-126 ◽  
Author(s):  
Ümran Şengül ◽  
Miraç Eren
Keyword(s):  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Marketing Strategies ◽  
The Other ◽  
Digital Marketing ◽  
Knowledge Based ◽  
The Social ◽  
Technological Developments ◽  
Marketing Tool ◽  
Selection Of

Technological developments resulted in creative, faster, target-oriented and knowledge-based marketing strategies more prone to interactions. Digital marketing is an example of marketing types arisen by technological developments. Digital marketing tools are rapidly growing since they can be performed through internet; they are faster and thus have an ascending trend. The amount of investment to be made to each digital marketing tool has become a significant decision making problems for the businesses. In this chapter, Fuzzy AHP and Fuzzy TOPSIS techniques were employed for the selection of digital marketing tools. Multi-criteria analysis revealed the Remarketing advertising as the most suitable digital marketing tool. Additionally, the social media advertising, advertising-per-impression, advertising-per-click, affiliate advertising, banner marketing and email-advertising were respectively found to be as the other significant marketing tools.

Selection of Concrete Production Facility Location Integrating Fuzzy AHP with TOPSIS Method

2012 ◽  
Vol 1 (1) ◽  
pp. 40-59 ◽  
Author(s):  
Golam Kabir ◽  
Razia Sultana Sumi
Keyword(s):  
Facility Location ◽  
Fuzzy Ahp ◽  
Facility Location Problem ◽  
Strategic Decision ◽  
Production Facility ◽  
Topsis Method ◽  
Location Selection ◽  
Concrete Production ◽  
Public And Private Sector ◽  
Selection Of

Evaluation and selection of a concrete production facility location is an important strategic decision making problems for both the public and private sector. The multi-dimensional, multi-criteria nature of the concrete production facility location problem limits the usefulness of any particular single objective model. In this study, social, economical, technological, environmental, and transportation factors and sub criteria have been derived to make the optimal concrete production facility location selection decision more realistic and effectual. This study shows an improved and appropriate concrete production facility location evaluation and selection model has been developed by integrating Modified Delphi and Fuzzy Analytic Hierarchy Process (FAHP) with Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method. An example is presented to show applicability and performance of the proposed methodology followed by a sensitivity analysis to discuss and explain the results.

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