Multi-criteria intuitionistic fuzzy group decision making model for real time location system integration: An application from healthcare system

Aysenur Budak; Alp Ustundag; Basar Oztaysi; Emre Cevikcan

doi:10.1142/9789813146976_0093

Multi-criteria intuitionistic fuzzy group decision making model for real time location system integration: An application from healthcare system

Aysenur Budak, Alp Ustundag, Basar Oztaysi, Emre Cevikcan

Department of Industrial Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Real Time Location System (RTLS) has gained importance in contemporary world since they allow real time positioning of assets, people and workflows. They can be used in different sectors to increase work efficiency and quality in areas of application. The selection of the appropriate RTLS technology becomes a major decision problem since it has a multi-criteria structure which includes both qualitative and quantitative factors. In this study, a decision making model is developed for selection of the appropriate RTLS technology for a hospital. In this study, TOPSIS method combined with intuitionistic fuzzy set is proposed to select the most appropriate RTLS technology for a hospital under group decision making environment.

Original language	English
Title of host publication	Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016
Editors	Jie Lu, Ludovic Koehl, Etienne E. Kerre, Luis Martinez, Xianyi Zeng
Publisher	World Scientific Publishing Co. Pte Ltd
Pages	580-587
Number of pages	8
ISBN (Electronic)	9789813146969
DOIs	https://doi.org/10.1142/9789813146976_0093
Publication status	Published - 2016
Event	Uncertainty Modelling in Knowledge Engineering and Decision Making - 12th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2016 - Roubaix, France Duration: 24 Aug 2016 → 26 Aug 2016

Publication series

Name	Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016

Conference

Conference	Uncertainty Modelling in Knowledge Engineering and Decision Making - 12th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2016
Country/Territory	France
City	Roubaix
Period	24/08/16 → 26/08/16

Bibliographical note

Publisher Copyright:
© 2016 by World Scientific Publishing Co. Pte. Ltd.

Keywords

Healthcare management
Intuitionistic fuzzy TOPSIS
Multi-criteria decision making
Real time location system

Access to Document

10.1142/9789813146976_0093

Cite this

Budak, A., Ustundag, A., Oztaysi, B., & Cevikcan, E. (2016). Multi-criteria intuitionistic fuzzy group decision making model for real time location system integration: An application from healthcare system. In J. Lu, L. Koehl, E. E. Kerre, L. Martinez, & X. Zeng (Eds.), Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016 (pp. 580-587). (Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016). World Scientific Publishing Co. Pte Ltd. https://doi.org/10.1142/9789813146976_0093

Budak, Aysenur ; Ustundag, Alp ; Oztaysi, Basar et al. / Multi-criteria intuitionistic fuzzy group decision making model for real time location system integration : An application from healthcare system. Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016. editor / Jie Lu ; Ludovic Koehl ; Etienne E. Kerre ; Luis Martinez ; Xianyi Zeng. World Scientific Publishing Co. Pte Ltd, 2016. pp. 580-587 (Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016).

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abstract = "Real Time Location System (RTLS) has gained importance in contemporary world since they allow real time positioning of assets, people and workflows. They can be used in different sectors to increase work efficiency and quality in areas of application. The selection of the appropriate RTLS technology becomes a major decision problem since it has a multi-criteria structure which includes both qualitative and quantitative factors. In this study, a decision making model is developed for selection of the appropriate RTLS technology for a hospital. In this study, TOPSIS method combined with intuitionistic fuzzy set is proposed to select the most appropriate RTLS technology for a hospital under group decision making environment.",

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note = "Publisher Copyright: {\textcopyright} 2016 by World Scientific Publishing Co. Pte. Ltd.; Uncertainty Modelling in Knowledge Engineering and Decision Making - 12th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2016 ; Conference date: 24-08-2016 Through 26-08-2016",

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Budak, A, Ustundag, A , Oztaysi, B & Cevikcan, E 2016, Multi-criteria intuitionistic fuzzy group decision making model for real time location system integration: An application from healthcare system. in J Lu, L Koehl, EE Kerre, L Martinez & X Zeng (eds), Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016. Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016, World Scientific Publishing Co. Pte Ltd, pp. 580-587, Uncertainty Modelling in Knowledge Engineering and Decision Making - 12th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2016, Roubaix, France, 24/08/16. https://doi.org/10.1142/9789813146976_0093

Multi-criteria intuitionistic fuzzy group decision making model for real time location system integration: An application from healthcare system. / Budak, Aysenur; Ustundag, Alp ; Oztaysi, Basar et al.
Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016. ed. / Jie Lu; Ludovic Koehl; Etienne E. Kerre; Luis Martinez; Xianyi Zeng. World Scientific Publishing Co. Pte Ltd, 2016. p. 580-587 (Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Real Time Location System (RTLS) has gained importance in contemporary world since they allow real time positioning of assets, people and workflows. They can be used in different sectors to increase work efficiency and quality in areas of application. The selection of the appropriate RTLS technology becomes a major decision problem since it has a multi-criteria structure which includes both qualitative and quantitative factors. In this study, a decision making model is developed for selection of the appropriate RTLS technology for a hospital. In this study, TOPSIS method combined with intuitionistic fuzzy set is proposed to select the most appropriate RTLS technology for a hospital under group decision making environment.

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Budak A, Ustundag A , Oztaysi B , Cevikcan E. Multi-criteria intuitionistic fuzzy group decision making model for real time location system integration: An application from healthcare system. In Lu J, Koehl L, Kerre EE, Martinez L, Zeng X, editors, Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016. World Scientific Publishing Co. Pte Ltd. 2016. p. 580-587. (Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016). doi: 10.1142/9789813146976_0093

Multi-criteria intuitionistic fuzzy group decision making model for real time location system integration: An application from healthcare system

Abstract

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Keywords

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