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.

scholarly journals Picture Fuzzy TOPSIS Method Based on CPFRS Model: An Application to Risk Management Problems

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Jiulin Jin ◽  
Ping Zhao ◽  
Taijie You
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Multicriteria Decision Making ◽  
Fuzzy Topsis ◽  
Green Buildings ◽  
Topsis Method ◽  
Fuzzy Rough Set ◽  
Established Method ◽  
Logical Operators ◽  
Wide Range

It is not widely acknowledged that multicriteria decision-making (MCDM) problems in some particular circumstances cannot be effectively solved by some traditional methods. This paper aims to construct a novel decision-making method to effectively solve these MCDM problems. Firstly, we propose a covering-based picture fuzzy rough set (CPFRS) model by combining the picture fuzzy (PF) neighborhood operator and some PF logical operators. Secondly, by combining the proposed CPFRS model with the principle of TOPSIS method, a new method is proposed to solve the MCDM problems under PF environments. Finally, we apply our proposed method to the risk management of green buildings. By comparing the proposed method with some existing MCDM methods, the established method is effective and flexible and can be applied to a wide range of environments.

scholarly journals Multi-Criteria Decision Making Using TOPSIS Method Under Fuzzy Environment. Application in Spillway Selection

Proceedings ◽  
2018 ◽  
Vol 2 (11) ◽  
pp. 637 ◽  
Author(s):  
Vasiliki Balioti ◽  
Christos Tzimopoulos ◽  
Christos Evangelides
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Topsis ◽  
Topsis Method ◽  
Northern Greece ◽  
Analytic Hierarchy ◽  
Order Preference ◽  
Optimum Type ◽  
Topsis Technique ◽  
Selection Of

The selection of an appropriate spillway has a significant effect to the construction of a dam and several procedures and considerations are needed. In the past, this selection of the type of the spillway was arbitrary and sometimes with bad results. Recently the Multiple Criteria Decision Making theory has given the possibility to make a decision about the optimum form of a spillway under complex circumstances. In this paper, the above method is used and especially the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method for the selection of a spillway for a dam in the district of Kilkis in Northern Greece—‘Dam Pigi’. As the criteria were fuzzy and uncertain, the Fuzzy TOPSIS method is introduced together with the AHP (Analytic Hierarchy Process), which is used for the evaluation of criteria and weights. Five types of spillways were selected as alternatives and nine criteria. The criteria are expressed as triangular fuzzy numbers in order to formulate the problem. Finally, using the Fuzzy TOPSIS method, the alternatives were ranked and the optimum type of spillway was obtained.

Selection of Green Suppliers Based on GSCM Practices

2017 ◽  
pp. 355-375 ◽  
Author(s):  
Akshay Kumar Uppala ◽  
Rishabh Ranka ◽  
J. J. Thakkar ◽  
Manupati Vijay Kumar ◽  
Shilpa Agrawal
Keyword(s):  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Industrial Sector ◽  
Fuzzy Analytical Hierarchy Process ◽  
Environmental Laws ◽  
Topsis Approach ◽  
Green Suppliers ◽  
Hierarchy Process ◽  
Selection Of

The environmental pressure from various stakeholders, particularly in the selection of green suppliers in the industrial sector, is alarming. The companies are realizing the significance of incorporating green practices in their daily operations. This chapter proposes a framework on the criteria of GSCM practices using MCDM analysis to select green suppliers for an Indian electronics company. The authors have collected the data from a set of 10 available suppliers. The authors use fuzzy AHP and fuzzy TOPSIS approach to rank the suppliers based on the decision makers' preferences on the selection of green suppliers using GSCM practices. The three dominating criteria concluded by the results are the commitment of senior management towards GSCM; product design that incorporates three R's policy for component, materials, and energy; abidance with environmental laws and auditing programs. This chapter carries out a comparison between Fuzzy Analytical Hierarchy Process (FAHP) and Fuzzy TOPSIS method to enhance the quality of decision making and validate the rankings.

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