Decision Making Through the Fuzzy TOPSIS Method

Construction contractors have a great role in terms of operation work properly in construction project management. An effective contractor selection is most important to the success of any construction projects. Contractor selection is a multi criteria decision making problem which includes qualitative and quantitative characteristics. For the contractor selection problem, this study proposes a combined decision approach, which employs analytic hierarchy process (AHP) and Fuzzy Technique Ordered Preference by Similarity to the Ideal Solution (TOPSIS) methods. In the proposed approach, AHP is used to determine the weights of selection criteria, and Fuzzy TOPSIS is used to select appropriate contractor alternative. Additionally, a real case study in construction industry is presented to illustrate the application of the proposed approach.

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A Multi-Criteria Decision Support Concept for Selecting the Optimal Contractor

Applied Sciences ◽

10.3390/app11041660 ◽

2021 ◽

Vol 11 (4) ◽

pp. 1660 ◽

Cited By ~ 1

Author(s):

Ivan Marović ◽

Monika Perić ◽

Tomaš Hanak

Keyword(s):

Decision Making ◽

Decision Support ◽

Project Performance ◽

Decision Makers ◽

Construction Project Management ◽

Analytic Hierarchy ◽

Conflicting Demands ◽

Decision Making Problem ◽

Scientific Approach ◽

Hierarchy Process

A way to minimize uncertainty and achieve the best possible project performance in construction project management can be achieved during the procurement process, which involves selecting an optimal contractor according to “the most economically advantageous tender.” As resources are limited, decision-makers are often pulled apart by conflicting demands coming from various stakeholders. The challenge of addressing them at the same time can be modelled as a multi-criteria decision-making problem. The aim of this paper is to show that the analytic hierarchy process (AHP) together with PROMETHEE could cope with such a problem. As a result of their synergy, a decision support concept for selecting the optimal contractor (DSC-CONT) is proposed that: (a) allows the incorporation of opposing stakeholders’ demands; (b) increases the transparency of decision-making and the consistency of the decision-making process; (c) enhances the legitimacy of the final outcome; and (d) is a scientific approach with great potential for application to similar decision-making problems where sustainable decisions are needed.

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Decision Tree and AHP Methods Application for Projects Assessment: A Case Study

Sustainability ◽

10.3390/su13105502 ◽

2021 ◽

Vol 13 (10) ◽

pp. 5502

Author(s):

Augustinas Maceika ◽

Andrej Bugajev ◽

Olga Regina Šostak ◽

Tatjana Vilutienė

Keyword(s):

Decision Making ◽

Decision Tree ◽

Construction Projects ◽

Decision Making Process ◽

Analytic Hierarchy ◽

Model Stability ◽

Proposed Model ◽

Tree Methods ◽

Hierarchy Process

This research is dedicated to the modelling of decision process occurring during the implementation of construction projects. Recent studies generally do not assess the robustness of the decisions regarding the possible changes during the construction project implementation. However, such an assessment might increase the reliability of the decision-making process. We addressed this gap through a new model that combines the decision-making process modelling with the AHP method and includes the analysis of model stability concerning stakeholders’ behaviour. We used the Analytic Hierarchy Process (AHP) and Decision tree methods to model the decision-making process. The proposed model was validated on a case study of multiple construction projects. The assessment was performed from individual investor’s and independent expert’s perspectives. The criteria for the assessment were selected according to the principles of sustainability. We performed the sensitivity analysis, making it possible to assess the possible changes of the decisions depending on the potential patterns of the decision-makers’ behaviour. The results of the study show that, sometimes, small fluctuations in the project factors affect the project selection indicating the possible lack of the robustness of the project decisions.

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Evaluating Museum Virtual Tours: The Case Study of Italy

Information ◽

10.3390/info10110351 ◽

2019 ◽

Vol 10 (11) ◽

pp. 351 ◽

Cited By ~ 3

Author(s):

Katerina Kabassi ◽

Alessia Amelio ◽

Vasileios Komianos ◽

Konstantinos Oikonomou

Keyword(s):

Decision Making ◽

Analytic Hierarchy Process ◽

Fuzzy Topsis ◽

Multi Criteria Decision Making ◽

Ideal Solution ◽

Analytic Hierarchy ◽

The Status ◽

The Analytic Hierarchy Process ◽

Hierarchy Process

Virtual tours in museums are an ideal solution for those that are not able to visit a museum or those who want to have a small taste of what is presented in the museum before their visit. However, these tours often encounter severe problems while users interact with them. In order to check the status of virtual tours of museums, we present the implementation of an evaluation experiment that uses a combination of two multi-criteria decision making theories, namely the analytic hierarchy process (AHP) and the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS). AHP has been used for the estimation of the weights of the heuristics and fuzzy TOPSIS has been used for the evaluation of virtual tours of museums. This paper presents the exact steps that have to be followed in order to implement such an experiment and run an example experiment for virtual tours of Italian museums.

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A practical Approach Based on Fuzzy Analytic Hierarchy Process for Contractor Selection: a Case Study of An Engineering and Development Company in Iran

LHHSS-17, ICEELB-17, Jan. 1-2, 2017 Dubai (UAE) ◽

10.15242/icehm.ed0117034 ◽

2017 ◽

Keyword(s):

Analytic Hierarchy Process ◽

Practical Approach ◽

Fuzzy Analytic Hierarchy Process ◽

Analytic Hierarchy ◽

Contractor Selection ◽

Hierarchy Process

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Аn example of different AHP structuring in a forest management problem

Zbornik Matice srpske za prirodne nauke ◽

10.2298/zmspn1630127l ◽

2016 ◽

pp. 127-137

Author(s):

Milena Lakicevic ◽

Bojan Srdjevic ◽

Ivaylo Velichkov ◽

Zorica Srdjevic

Keyword(s):

Decision Making ◽

Forest Management ◽

Analytic Hierarchy Process ◽

Evaluation Procedure ◽

Decision Making Process ◽

Management Problem ◽

Consistency Check ◽

Analytic Hierarchy ◽

Hierarchy Process

The paper investigates how different hierarchy structuring in analytic hierarchy process (AHP) may affect the final results in the decision-making process. This problem is analyzed in a case study of the Rila monastery forest stands in Bulgaria. There were three similar and mutually overlapped hierarchies defined. A decision maker evaluated all of them and after analyzing final results and consistency performance, he selected and revised the most appropriate hierarchy structure. Consistency check assisted in detecting the judgments which have strongly violated evaluation procedure. These mistakes are interpreted as a consequence of a large number of required pair-wise comparisons. The paper emphases the importance of properly defining hierarchy structure and recommends using consistency analysis as a guide and not as a directive for the revision of judgments.

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Analytic Hierarchy Process as a decision-making tool for Systematic Layout Planning, involving social responsibility criteria: a case study

International Journal of Industrial and Systems Engineering ◽

10.1504/ijise.2020.10038574 ◽

2020 ◽

Vol 1 (1) ◽

pp. 1

Author(s):

Elpídio Nara ◽

Jorge Moraes ◽

Andre Luis Korzenowsk ◽

Lucas Schmidt Goecks ◽

Taciana Mareth

Keyword(s):

Decision Making ◽

Social Responsibility ◽

Analytic Hierarchy Process ◽

Analytic Hierarchy ◽

Layout Planning ◽

Systematic Layout Planning ◽

Hierarchy Process ◽

Decision Making Tool

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Fuzzy Analytic Hierarchy Process and Its Application to E-Marketplace Selection

Enterprise Business Modeling, Optimization Techniques, and Flexible Information Systems ◽

10.4018/978-1-4666-3946-1.ch003 ◽

2013 ◽

pp. 26-44 ◽

Cited By ~ 2

Author(s):

Beyza Ahlatcioglu Ozkok ◽

Elisa Pappalardo

Keyword(s):

Decision Making ◽

Analytic Hierarchy Process ◽

Fuzzy Ahp ◽

Multi Criteria Decision Making ◽

Linguistic Variables ◽

Analytic Hierarchy ◽

Multi Attribute Decision Making ◽

Electronic Parts ◽

Hierarchy Process

Making decisions is a part of daily life. The nature of decision-making includes multiple and usually conflicting criteria. Multi Criteria Decision-Making (MCDM) problems are handled under two main headings: Multi Attribute Decision Making (MADM) and Multi Objective Decision Making (MODM). Analytic Hierarchy Process (AHP) is a widely used multi-criteria decision making approach and has successfully been applied to many practical problems. Traditional AHP requires exact or crisp judgments (numbers). However, due to the complexity and uncertainty involved in real world decision problems, decision makers might be more reluctant to provide crisp judgments than fuzzy ones. Furthermore, even when people use the same words, individual judgments of events are invariably subjective, and the interpretations that they attach to the same words may differ. This is why fuzzy numbers and fuzzy sets have been introduced to characterize linguistic variables. Here, the authors overview the most known fuzzy AHP approaches and their application, and they present a case study to select an e-marketplace for a firm, which produces and sells electronic parts of computers in Turkey.

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Fuzzy multi-criteria decision-making: An entropy-based approach to assess tourism sustainability

Tourism Economics ◽

10.1177/1354816619885207 ◽

2019 ◽

pp. 135481661988520

Author(s):

Joseph Andria ◽

Giacomo di Tollo ◽

Raffaele Pesenti

Keyword(s):

Decision Making ◽

Evaluation Criteria ◽

Multiple Criteria Decision Making ◽

Data Envelopment ◽

Analytic Hierarchy ◽

Entropy Maximization ◽

Tourist Destinations ◽

Hierarchy Process ◽

Direct Applicability

In this article, we propose a method for ranking tourist destinations and evaluating their performances under a sustainability perspective: a fuzzy multiple criteria decision-making method is applied for determining sustainability performance values and ranking destinations accordingly. We select a set of sustainability evaluation criteria and use a fuzzy analytic hierarchy process to weight the selected criteria. We also optimize each evaluator’s membership function support by means of a fuzzy entropy maximization criteria. A case study is illustrated and results are compared with two data envelopment analysis–based models. The simplicity of the proposed approach along with the easy readability of the results allow its direct applicability for all involved stakeholders.

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Use of Analytic Hierarchy Process for Wind Farm Installation Region Prioritization–Case Study

Energies ◽

10.3390/en13092284 ◽

2020 ◽

Vol 13 (9) ◽

pp. 2284 ◽

Cited By ~ 1

Author(s):

Rômulo Lemos Bulhões ◽

Eudemário Souza de Santana ◽

Alex Álisson Bandeira Santos

Keyword(s):

Decision Making ◽

Analytic Hierarchy Process ◽

Wind Farm ◽

Greenhouse Gas Emission ◽

Wind Farms ◽

Clean Energy ◽

Poor Quality ◽

Analytic Hierarchy ◽

Hierarchy Process

Electricity generation via renewable sources is emerging as a possible solution to meet the growing demand for electricity worldwide. Additionally, the need to produce clean energy, with little or no pollutants or greenhouse gas emission is paramount. Due to these factors, wind farms are noticeably increasing in number, especially in Brazil. However, the vast size of the country and the poor quality of its infrastructure are among several factors that make it difficult for effective decision-making to accelerate the growth of this segment in Brazil. With the purpose of assisting government agencies, regulatory agencies and other institutions in this area, the use of a multi-criteria selection method called the analytic hierarchy process is proposed here to assist in decision-making and to select priority regions for implementing wind farms. This work focuses on a case study of the state of Bahia, in which 27 territories were selected for an installation priority evaluation. Computational tools were used to hierarchize these chosen territories, including Matlab, for the construction of the computational algorithm. The results indicate the priority pf the regions according to the established criteria, which allows installation locations to be mapped—these could serve as a basis for regional investment.

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