A decision support system for surveillance of smart cities via a novel aggregation operator on intuitionistic fuzzy sets

In recent times, terror attacks are becoming one of the most important issues of defense section for almost all the countries, especially for smart cities. Sometimes countries have to spend a lot of money and man power to protect and servile the cities, which is a challenging task for the smart citi...

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Bibliographic Details
Published in:Multimedia tools and applications 2022-07, Vol.81 (16), p.22587-22608
Main Authors: Goala, Soumendra, Prakash, Deo, Dutta, Palash, Talukdar, Pranjal, Verma, K. D., Palai, G.
Format: Article
Language:English
Subjects:
1200: Machine Vision Theory and Applications for Cyber Physical Systems
Agglomeration
Case studies
Computer Communication Networks
Computer Science
Crime
Data Structures and Information Theory
Decision making
Decision support systems
Fuzzy sets
Literature reviews
Methods
Multimedia
Multimedia Information Systems
Similarity measures
Smart cities
Special Purpose and Application-Based Systems
Surveillance
Terrorism
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Summary:In recent times, terror attacks are becoming one of the most important issues of defense section for almost all the countries, especially for smart cities. Sometimes countries have to spend a lot of money and man power to protect and servile the cities, which is a challenging task for the smart cities to rely on technologies rather than man power for surveillance and protection. In this paper, a fuzzy multi criteria decision support system is utilized to prioritize the parts of a smart city which may lie under potential threat of terror attacks. For this purpose, a new aggregation operation on Intuitionistic fuzzy sets has been proposed. In addition, a case study on a smart city has been carried out which showcase the applicability of the proposed methodology.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-021-11522-7