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

被引：0

作者：

Fatima, Areej ^{[1
]}

Khan, Muhammad Adnan ^{[1
]}

Abbas, Sagheer ^{[1
]}

Waqas, Muhammad ^{[1
]}

Anum, Leena ^{[1
]}

Asif, Muhammad ^{[1
]}

机构：

[1] Natl Coll Business Adm & Econ, Dept Comp Sci, Lahore, Pakistan

来源：

ISECURE-ISC INTERNATIONAL JOURNAL OF INFORMATION SECURITY | 2019年 / 11卷 / 03期

关键词：

IoT; Smart City; PFSC; Multilayer Fuzzy logic; CITIES;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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. (C) 2019 ISC. All rights reserved.

引用

页码：51 / 58

页数：8

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