Evaluation of Planet Factors of Smart City through Multi-layer Fuzzy Logic (MFL)

نویسندگان
Fatima, Areej ID 1
Waqas, Muhammad ID 2
Anum, Leena ID 3
Adnan Khan, Muhammad ID 4
Abbas, Sagheer ID 5
Asif, Muhammad ID 6

1 Department of Computer Science, National College of Business Administration & Economics, Lahore, Pakistan

2 Department of Computer Science, National College of Business Administration & Economics, Lahore, Pakistan

3 Department of Computer Science, National College of Business Administration & Economics, Lahore, Pakistan

4 Department of Computer Science, National College of Business Administration & Economics, Lahore, Pakistan

5 Department of Computer Science, National College of Business Administration & Economics, Lahore, Pakistan

6 Department of Computer Science, National College of Business Administration & Economics, Lahore, Pakistan

doi
10.22042/isecure.2019.11.0.7
چکیده

Internet of Things (IoT) approach is empowering smart city creativities all over the world. There is no specific tool or criteria for the evaluation of the services offered by the smart city. In this paper, a new Multilayer Fuzzy Inference System (MFIS) is proposed for the assessment of the Planet Factors of smart city (PFSC). The PFSC system is categorized into two levels. The proposed MFIS based expert system can categories the evaluation level of planet factors of the smart city into low, satisfied, or good.

کلیدواژه‌ها
IoT, Smart city, PFSC, Multilayer Fuzzy logic