A hierarchical multi-criteria group decision-making method based on TOPSIS and hesitant fuzzy information

Gitinavard, Hossein; Pishvaee, Mir Saman; Jalalvand, Fatemeh

doi:10.1504/ijads.2017.085084

Cited by 7 publications

(6 citation statements)

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“…Thus, developing a decision support framework using appropriate attributes is very helpful in this context. Particularly, the issue of SPS strongly needs experts' knowledge and experiences, and data sets for real-world problems can have fuzzy uncertainties such as ambiguity, vagueness and imprecision (Fallahpour et al, 2016;Gitinavard et al, 2017;Vahdani, 2016). It is also difficult for decision makers and managers to express their thoughts by applying exact numbers in decision making.…”

Section: Introductionmentioning

confidence: 99%

“…In essence, developing a framework which can deal with ambiguity, vagueness and imprecision is beneficial (Borujeni & Gitinavard, 2017). Fuzzy set theory, developed by Zadeh (1978) as a method to cope with the problem of exact data collection in real world, has been widely used in decision making (Ebrahimnejad et al, 2017;Erdogan et al, 2017;Gitinavard et al, 2017;Govindan et al, 2019;Nguyen et al, 2018;N. Prascevic & Z. Prascevic, 2017).…”

Section: Introductionmentioning

confidence: 99%

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A Fuzzy Decision Support System for Sustainable Construction Project Selection: An Integrated FPP-Fis Model

Fallahpour

Wong

Rajoo

et al. 2020

Journal of Civil Engineering and Management

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Sustainability has become a key concern for project selection in construction industries. Determining the best sustainable project based on various sustainability attributes is a very complicated decision. Accordingly, developing a suitable decision support framework can be very helpful for decision makers to attain planned business goals and complete projects at the right time with good quality. This research develops a decision support model which helps managers to understand the concept of sustainability in construction project selection and choose the best project using a new integrated Multi-Criteria Decision Making (MCDM) approach under uncertainty by integrating Fuzzy Preference Programming (FPP) as a modification of Fuzzy Analytical Hierarchy Process (FAHP), with Fuzzy Inference System (FIS) as a fuzzy rulebased expert system. In the first phase of the research, fifteen sustainability attributes were selected. In the second phase, the final weight of each attribute was computed by using FPP. In the last phase, the most appropriate project was selected by running the weighted FIS. The results showed that Project 3 (P3) is the best project. Finally, two different evaluative tests were also applied to verify the validity and robustness of the developed model.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Fuzzy Decision Support System for Sustainable Construction Project Selection: An Integrated FPP-Fis Model

Fallahpour

Wong

Rajoo

et al. 2020

Journal of Civil Engineering and Management

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“…Thus, precise numbers are insufficient to model the real life conditions which raise the need for a theory to be combined with TOPSIS in order to deal with such problems. Consequently, there is a need for applying fuzzy theories to deal with uncertainty based on the respective characteristics of the investigated issue (Gitinavard, Pishvaee, & Jalalvand, 2017).…”

Section: Overview Of Topsismentioning

confidence: 99%

“…Mainly, there are four research methods employed for the investigation of uncertain systems including: Probability and statistics, Grey set theory, Fuzzy sets theory and Rough set theory. Each theory has respective characteristics that deal with different kinds of uncertainty (Gitinavard et al, 2017).…”

Section: Addressing Uncertainty In Dmmentioning

confidence: 99%

A Decision Support Model for Civil Engineering Projects Based on Multi-Criteria and Various Data

Issa

Miky

Abdel-malak

2019

Journal of Civil Engineering and Management

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This paper develops a model, introduced in software, namely Multi-Criteria Decision-Making Model (MCDMM). The model helps decision makers selecting the most suitable alternative based on the customer requirements and preferences. Analytic Hierarchy Process (AHP) and Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) form a package that covers most available data types in construction projects. In MCDMM, AHP produces criteria relative weights according to their influence on the discussed problem, while Fuzzy TOPSIS is applied to rank the available alternatives. The model consists of two modules, first one uses AHP only to deal with precise, qualitative alongside quantitative data, while the other module combines AHP with Fuzzy TOPSIS due to the importance of linguistic variables to cover undocumented data. MCDMM is verified using two real case studies. The model is applied to a real case project for constructing solar power plants at Saudi Arabia. A decision required to select the most suitable surveying technique for producing Digital Terrain Model (DTM) among four alternatives (Total Station, Remote Sensing, Photogrammetry, and Global Positioning Systems). This issue is studied and key points are identified for prioritizing among them. Total Station is selected based on the model results.

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“…Recently, MCDM problems have been applied in a wide research field (Podviezko & Podvezko, 2014;Zhou et al, 2015;Chen 2015;Hanine et al, 2016;Pourahmadi et al, 2017;Fahmi et al, 2017;Zhang et al, 2017;Gitinavard et al, 2017;Potharaju & Sreedevi, 2018;Ren et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Project Delivery System Decision Making using Pythagorean Fuzzy TOPSIS

Cao

et al. 2019

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The selection of project delivery systems is a complex decision-making process, which is also a critical task for owners. The complexity problem arises from the uncertainty of decision making environment and construction project itself. Pythagorean fuzzy sets (PFS), as an extension from intuitionistic fuzzy sets (IFSs) to deal with uncertainty information, has attracted more scholars’ attention in the decision making area. In this paper, we develop three similarity measures (i.e., 1-type PFSs similarity measure, 2-type PFSs weighted similarity measure, 3-type PFSs weighted similarity measure), and investigate their properties. Then an improved TOPSIS decision making framework is further established with PFSs information, in which the proposed similarity measures are employed to measure the similarity degree between each alternative and negative ideal solution and positive ideal solution. Finally, a case study of the selection of project delivery systems is presented to proof the performance of the proposed decision making method.

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A hierarchical multi-criteria group decision-making method based on TOPSIS and hesitant fuzzy information

Cited by 7 publications

References 0 publications

A Fuzzy Decision Support System for Sustainable Construction Project Selection: An Integrated FPP-Fis Model

A Fuzzy Decision Support System for Sustainable Construction Project Selection: An Integrated FPP-Fis Model

A Decision Support Model for Civil Engineering Projects Based on Multi-Criteria and Various Data

Project Delivery System Decision Making using Pythagorean Fuzzy TOPSIS

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