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Article

A Novel Multi-Criteria Decision-Making Methodology: The Presence–Absence Synthesis Method

1
Industrial Engineering Department, Istanbul Technical University, Istanbul 34367, Turkey
2
Industrial Engineering Department, Baskent University, Ankara 06790, Turkey
*
Author to whom correspondence should be addressed.
Symmetry 2026, 18(2), 268; https://doi.org/10.3390/sym18020268 (registering DOI)
Submission received: 19 December 2025 / Revised: 9 January 2026 / Accepted: 27 January 2026 / Published: 31 January 2026

Abstract

Traditional multi-criteria decision-making methods often operate on the assumption of symmetry, presupposing that the positive impact of a criterion’s presence is perfectly complementary to the negative impact of its absence. However, in real-world decision problems, this relationship is frequently asymmetric; some criteria act merely as “delighters,” while others represent “must-have” constraints. This study proposes a novel methodology, the Presence–Absence Synthesis (PAS) Method, which addresses this asymmetry by treating the “Presence Effect” and “Absence Effect” of criteria as two independent dimensions. The method is built upon intuitionistic fuzzy sets (IFSs) to effectively model the uncertainty and hesitation inherent in expert evaluations. The applicability of the proposed approach is demonstrated through a real-world workforce management problem aimed at assigning employees to the most suitable tasks based on their competencies in a retail store. In the study, the suitability scores derived from the PAS method are integrated into a mathematical optimization model for weekly employee scheduling, presenting a two-stage decision support framework. The results and comparisons with the Technique for Order Preference by Similarity to Ideal Solution method reveal that the PAS method more effectively distinguishes critical competency gaps (i.e., criteria with high absence effects), leading to more realistic task assignments and a measurable reduction in operational risks, such as skill mismatches and infeasible schedules. Furthermore, sensitivity analysis confirms that the proposed model yields consistent and robust results under varying conditions. Beyond the retail context, the proposed PAS framework is applicable to a wide range of decision-making problems, including healthcare staff allocation, project team formation, supplier selection, and other resource allocation settings where their presence cannot compensate for the absence of critical criteria.
Keywords: multi-criteria decision-making; fuzzy modeling; assignment model multi-criteria decision-making; fuzzy modeling; assignment model

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MDPI and ACS Style

Bal, M.; Ucal Sari, I.; Kabak, Ö. A Novel Multi-Criteria Decision-Making Methodology: The Presence–Absence Synthesis Method. Symmetry 2026, 18, 268. https://doi.org/10.3390/sym18020268

AMA Style

Bal M, Ucal Sari I, Kabak Ö. A Novel Multi-Criteria Decision-Making Methodology: The Presence–Absence Synthesis Method. Symmetry. 2026; 18(2):268. https://doi.org/10.3390/sym18020268

Chicago/Turabian Style

Bal, Mustafa, Irem Ucal Sari, and Özgür Kabak. 2026. "A Novel Multi-Criteria Decision-Making Methodology: The Presence–Absence Synthesis Method" Symmetry 18, no. 2: 268. https://doi.org/10.3390/sym18020268

APA Style

Bal, M., Ucal Sari, I., & Kabak, Ö. (2026). A Novel Multi-Criteria Decision-Making Methodology: The Presence–Absence Synthesis Method. Symmetry, 18(2), 268. https://doi.org/10.3390/sym18020268

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