A Pythagorean cubic fuzzy methodology based on TOPSIS and TODIM methods and its application to software selection problem

Software selection process for many organizations is a challenging task to conduct their business activities and sustain competitiveness. This paper develops a new hybrid multi-criteria decision-making (MCDM) method to select the most efficient vendor-supplied software package which is used in all b...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 26; H. 5; S. 2437 - 2450
Hauptverfasser:	Seker, Sukran, Kahraman, Cengiz
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2022
Schlagworte:	Artificial Intelligence Computational Intelligence Control Engineering Mathematical Logic and Foundations Mechatronics Robotics Soft Computing in Decision Making and in Modeling in Economics TODIM Software selection MCDM TOPSIS Pythagorean cubic fuzzy sets
ISSN:	1432-7643, 1433-7479
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Abstract	Software selection process for many organizations is a challenging task to conduct their business activities and sustain competitiveness. This paper develops a new hybrid multi-criteria decision-making (MCDM) method to select the most efficient vendor-supplied software package which is used in all business activities for planning or designing, organizing, and supervising functions by operations management of a fuel oil company operated in Turkey. The proposed method is a hybridization of two well-known MCDM approaches, namely TODIM (an acronym in Portuguese for interactive and multi-criteria decision making) and TOPSIS (technique for order preference by similarity to an ideal solution) using Pythagorean cubic fuzzy sets to manage uncertainty, subjectivity and bias of decision makers. To prove the efficiency and applicability of the proposed method, a real-life application to select best software package for fuel oil company is conducted. Finally, sensitivity and comparison analyses are carried out to verify validity and stability of the results obtained by the proposed approach.
AbstractList	Software selection process for many organizations is a challenging task to conduct their business activities and sustain competitiveness. This paper develops a new hybrid multi-criteria decision-making (MCDM) method to select the most efficient vendor-supplied software package which is used in all business activities for planning or designing, organizing, and supervising functions by operations management of a fuel oil company operated in Turkey. The proposed method is a hybridization of two well-known MCDM approaches, namely TODIM (an acronym in Portuguese for interactive and multi-criteria decision making) and TOPSIS (technique for order preference by similarity to an ideal solution) using Pythagorean cubic fuzzy sets to manage uncertainty, subjectivity and bias of decision makers. To prove the efficiency and applicability of the proposed method, a real-life application to select best software package for fuel oil company is conducted. Finally, sensitivity and comparison analyses are carried out to verify validity and stability of the results obtained by the proposed approach.
Author	Kahraman, Cengiz Seker, Sukran
Author_xml	– sequence: 1 givenname: Sukran orcidid: 0000-0002-8726-6148 surname: Seker fullname: Seker, Sukran email: sseker@yildiz.edu.tr organization: Industrial Engineering Department, Yildiz Technical University – sequence: 2 givenname: Cengiz surname: Kahraman fullname: Kahraman, Cengiz organization: Industrial Engineering Department, Istanbul Technical University
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Snippet	Software selection process for many organizations is a challenging task to conduct their business activities and sustain competitiveness. This paper develops a...
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SubjectTerms	Artificial Intelligence Computational Intelligence Control Engineering Mathematical Logic and Foundations Mechatronics Robotics Soft Computing in Decision Making and in Modeling in Economics
Title	A Pythagorean cubic fuzzy methodology based on TOPSIS and TODIM methods and its application to software selection problem
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