@article{MAKHILLJEAS2018131916908,
    title = {An Intuitionistic Fuzzy Based on Location Management System},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {19},
    pages = {8004-8009},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.8004.8009},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.8004.8009},
    author = {Ashit},
    keywords = {Location management,paging,location update intuitionistic fuzzy logic,handoff,resource
allocation,IFY},
    abstract = {Location Management (LM) is a complex task in a cellular network. Existing techniques could not
achieve an optimum result in handoff management and resource allocation to assist LM. Location update and
paging are the important attributes in LM and cost should be minimized for the efficient utilization of the
network. Dynamic relocation method reduces the complexity in handoff method. Some existing methods use
timer with cache memory to reduce the paging cost but the problem persist and unreliability exists in the
handling of calls in the network. The introduction of fuzzy logic leads to a successful handoff in the cellular
network but the cost of handling handoff is more comparing to the existing techniques. In this study, the
concept of Intuitionistic Fuzzy (IFY) is applied to overcome the problems in paging cost in location
management. The proposed method shows reduced page cost with a high threshold value for a successful
handoff operation.}
    }