Commentary on 'Construction projects selection and risk assessment by Fuzzy AHP and Fuzzy TOPSIS methodologies' [Applied Soft Computing 17 (2014): 105-116]

Osman Taylan; Mohammed R. Kabli; Mahdi Saeedpoor; Amin Vafadarnikjoo

doi:10.1016/j.asoc.2015.05.051

Commentary on 'Construction projects selection and risk assessment by Fuzzy AHP and Fuzzy TOPSIS methodologies' [Applied Soft Computing 17 (2014): 105-116]

Osman Taylan^*, Mohammed R. Kabli, Mahdi Saeedpoor, Amin Vafadarnikjoo

^*Corresponding author for this work

Research output: Contribution to journal › Comment/debate

20 Citations (Scopus)

Abstract

Taylan et al. [2014]. Construction projects selection and risk assessment by Fuzzy AHP and Fuzzy TOPSIS methodologies' [Applied Soft Computing 17, 105-116] aimed at using novel analytic tools to assess the construction projects and their total risks under inexact and imprecise situations. They applied Fuzzy Analytic Hierarchy Process (Fuzzy AHP) to create appropriate weights for five main criteria i.e. time, cost, quality, safety, and environmental sustainability and then Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) to rank the 30 construction projects on the basis of the opinions of seven decision makers in various sectors in Saudi Arabia. In this work, some inaccuracies of this recently published article are shown and corrected.

Original language	English
Pages (from-to)	419-421
Number of pages	3
Journal	Applied Soft Computing
Volume	36
DOIs	https://doi.org/10.1016/j.asoc.2015.05.051
Publication status	Published - 17 Aug 2015
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2015 Elsevier B.V. All rights reserved.

Keywords

Construction project management
Fuzzy AHP
Fuzzy modelling
Fuzzy TOPSIS
Risk management

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.asoc.2015.05.051

Cite this

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title = "Commentary on 'Construction projects selection and risk assessment by Fuzzy AHP and Fuzzy TOPSIS methodologies' [Applied Soft Computing 17 (2014): 105-116]",

abstract = "Taylan et al. [2014]. Construction projects selection and risk assessment by Fuzzy AHP and Fuzzy TOPSIS methodologies' [Applied Soft Computing 17, 105-116] aimed at using novel analytic tools to assess the construction projects and their total risks under inexact and imprecise situations. They applied Fuzzy Analytic Hierarchy Process (Fuzzy AHP) to create appropriate weights for five main criteria i.e. time, cost, quality, safety, and environmental sustainability and then Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) to rank the 30 construction projects on the basis of the opinions of seven decision makers in various sectors in Saudi Arabia. In this work, some inaccuracies of this recently published article are shown and corrected.",

keywords = "Construction project management, Fuzzy AHP, Fuzzy modelling, Fuzzy TOPSIS, Risk management",

author = "Osman Taylan and Kabli, \{Mohammed R.\} and Mahdi Saeedpoor and Amin Vafadarnikjoo",

year = "2015",

month = aug,

day = "17",

doi = "10.1016/j.asoc.2015.05.051",

language = "English",

volume = "36",

pages = "419--421",

journal = "Applied Soft Computing",

issn = "1568-4946",

publisher = "Elsevier B.V.",

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T2 - 105-116]

AU - Taylan, Osman

AU - Kabli, Mohammed R.

AU - Saeedpoor, Mahdi

AU - Vafadarnikjoo, Amin

PY - 2015/8/17

Y1 - 2015/8/17

N2 - Taylan et al. [2014]. Construction projects selection and risk assessment by Fuzzy AHP and Fuzzy TOPSIS methodologies' [Applied Soft Computing 17, 105-116] aimed at using novel analytic tools to assess the construction projects and their total risks under inexact and imprecise situations. They applied Fuzzy Analytic Hierarchy Process (Fuzzy AHP) to create appropriate weights for five main criteria i.e. time, cost, quality, safety, and environmental sustainability and then Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) to rank the 30 construction projects on the basis of the opinions of seven decision makers in various sectors in Saudi Arabia. In this work, some inaccuracies of this recently published article are shown and corrected.

AB - Taylan et al. [2014]. Construction projects selection and risk assessment by Fuzzy AHP and Fuzzy TOPSIS methodologies' [Applied Soft Computing 17, 105-116] aimed at using novel analytic tools to assess the construction projects and their total risks under inexact and imprecise situations. They applied Fuzzy Analytic Hierarchy Process (Fuzzy AHP) to create appropriate weights for five main criteria i.e. time, cost, quality, safety, and environmental sustainability and then Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) to rank the 30 construction projects on the basis of the opinions of seven decision makers in various sectors in Saudi Arabia. In this work, some inaccuracies of this recently published article are shown and corrected.

KW - Construction project management

KW - Fuzzy AHP

KW - Fuzzy modelling

KW - Fuzzy TOPSIS

KW - Risk management

UR - https://www.scopus.com/pages/publications/84939138781

U2 - 10.1016/j.asoc.2015.05.051

DO - 10.1016/j.asoc.2015.05.051

M3 - Comment/debate

AN - SCOPUS:84939138781

SN - 1568-4946

VL - 36

SP - 419

EP - 421

JO - Applied Soft Computing

JF - Applied Soft Computing

ER -

Commentary on 'Construction projects selection and risk assessment by Fuzzy AHP and Fuzzy TOPSIS methodologies' [Applied Soft Computing 17 (2014): 105-116]

Abstract

Bibliographical note

Keywords

UN SDGs

Access to Document

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