A Method for Interval-Valued Hesitant Fuzzy Multiple Attribute Decision Making and Their Application to Wireless Sensor Network Route Security Evaluation

التفاصيل البيبلوغرافية
العنوان: A Method for Interval-Valued Hesitant Fuzzy Multiple Attribute Decision Making and Their Application to Wireless Sensor Network Route Security Evaluation
المؤلفون: Ming-Yu Liu, Wei Fu, Ying-Mei Li
المصدر: Journal of Computational and Theoretical Nanoscience. 13:7110-7114
بيانات النشر: American Scientific Publishers, 2016.
سنة النشر: 2016
مصطلحات موضوعية: Computational Mathematics, Computer science, General Materials Science, General Chemistry, Data mining, Electrical and Electronic Engineering, Condensed Matter Physics, computer.software_genre, Wireless sensor network, Fuzzy logic, computer, Interval valued, Multiple attribute
الوصف: Wireless sensor network, as an integrated network which can perform information gathering, processing and delivering, can connect the real world and logistic information world. It is greatly changing the interaction between people and nature. There are wide potential applications for wireless sensor network, such as industry, agriculture, military affairs, environment monitoring, biomedicine, city managing and disaster succoring. The problem of evaluating the security of wireless sensor network route with interval-valued hesitant fuzzy information is the multiple attribute decision making. In this paper, we extend the ELECTRE method to take into account interval-valued hesitant fuzzy information and propose the ELECTRE method to solve the multiple attribute decision making problems. Finally, a practical example for evaluating the wireless sensor network route security is given to verify the developed approach and to demonstrate its practicality and effectiveness.
تدمد: 1546-1955
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::bb6a1e0072de3ffbf9a587f6d4b32e16
https://doi.org/10.1166/jctn.2016.5678
رقم الأكسشن: edsair.doi...........bb6a1e0072de3ffbf9a587f6d4b32e16
قاعدة البيانات: OpenAIRE