A Hesitant Fuzzy Based TOPSIS Approach for Smart Glass Evaluation
Hesitant fuzzy linguistic term sets (HFLTS) are applied to better represent decision maker’s (DMs’) preferences in complex situations such as uncertainty in DMs’ opinions and the difficulty about expressing thoughts by numbers. As an important tool, HFLTS presents a novel and strong approach for processing qualitative judgments of DMs. Therefore, this paper develops an approach based on HFLTS, ordered weighted averaging (OWA) operator and hesitant fuzzy technique for order performance by similarity to ideal solution (TOPSIS). A case study about smart glass (SG) evaluation is given to demonstrate the potential of the approach. The originality of the work comes from its evaluation methodology and its use on a case study for a logistics company. The study contributes the smart glass (SG) evaluation literature by introducing the integrated OWA Operator-Hesitant TOPSIS methodology. Since technology selection is an important subject for managers, the proposed methodology can be guided managers for an effective SG evaluation process.
KeywordsHesitant fuzzy linguistic term sets Multi criteria decision making Smart glasses TOPSIS OWA
The authors kindly express their appreciation for the support of industrial experts. This research has received financial support of Galatasaray University Research Fund (Project No: 17.402.004).
- 3.Kao, C.H., Yang, C.M., Hsieh, C.H., Hung, Y.S.: Decision making in the design process of wearable IT products. In: 5th International Congress of International Association of Societies of Design Research (IASDR), Tokyo, vol. 8, 26–35 (2013) Google Scholar
- 4.Patent landscape analysis, Wearable Technology, LexinnovaGoogle Scholar
- 5.Wearable technology in healthcare: the key to wellness at work. https://insights.samsung.com/2015/09/21/wearable-technology-in-healthcare-the-key-to-wellness-at-work/
- 7.Threat intelligence report: one in five doctors’ mobile device may be at high risk (2016). http://searchhealthit.techtarget.com/blog/Health-IT-Pulse/Threat-intelligence-report-One-in-five-doctors-mobile-device-may-be-at-high-risk
- 8.9 ways wearables could change health and fitness (2015). http://thenextweb.com/entrepreneur/2015/08/11/9-ways-wearables-change-health-fitness-startups/
- 9.Boltürk, E., Otay, İ., Senvar, O.: Hospital site selection via hesitant fuzzy TOPSIS. IFAC 49(12), 1140–1145 (2016)Google Scholar
- 12.Zhang, Y., Xie, A., Wu, Y.: A hesitant fuzzy multiple attribute decision making method based on linear programming and TOPSIS. IFAC 48–28, 427–431 (2015)Google Scholar
- 22.Torra, V., Narukawa, Y.: On hesitant fuzzy sets and decision. In: Proceedings of the IEEE International Conference on Fuzzy Systems, pp. 1378–1382 (2009)Google Scholar