RAJI-LAWAL HANAT YETUNDE

Meet RAJI-LAWAL HANAT YETUNDE, an Academic Staff of Lagos State University.

Specialization

Nil

Designation

Lecturer II

Department

Computer Science

Office

At the Computer Science department office

Visiting Hour

Appointment on Visitation important

Research Interest

Topic: Intuitionistic Fuzzy Similarity Measure

Description:

Similarity measure gives the numerical evaluation of the common features between entities. Lot of researches had been conducted in this area, it ranges from Crisp similarity measure which gives Boolean value, to Fuzzy similarity measure which gives a value between the range of o-1, but it considers only membership function. Intuitionistic fuzzy similarity measure(IFSM) gives value between the range of 0-1, but considers both membership and non-memmbership functions. IFSM had been applied to lots of domain to resolve classification problems. Lot of problems still exhibit the lapses covered by IFSM. The interest in this area is to research into such domains and use IFSM to resolve such weaknesses.

Qualifications

# Certificate SchoolYear
1. Ph.D (Computer Science) Federal University of Agriculture Abeokuta 2022

Current Research

Design and Implementation of E-Survey System

Research Details

The use of manual survey for sampling people's opinion during research is tedious, expensive and inaccurate. This research is looking into bridging this gap. There are existing on-line survey systems, but they have draw backs. One major draw back is that users fail to attend to E-survey due to lack of reminder, and they are not open source application. Due to the restriction attached to accessing E-survey system, this research will design and implement an E-survey system. This will be achieved by following all the rules and protocols of software development. The software model adopted is water fall model. This research will resolve negligence of respondent to survey by sending an email that contains the survey link, and send reminder at interval until the survey is filled. The electronic survey gathers, and analyze respondent's opinion through numerical analysis, and pictorial representation(pie chart, bar chart). This goes a long way to reduce the tedious process involved in manual survey system.

Biography

RAJI-LAWAL HANAT is a Lecturer II at the Department of Computer Science

RAJI-LAWAL has a Ph.D in Computer Science from Federal University of Agriculture Abeokuta

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