- PHD Student
South Asian University
Attended 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017)
2017, Naples, Italy
I successfully attended and presented my paper titled ‘Interval Type-2 Fuzzy Sets for Enhanced Learning in Deep Belief Networks’ as well as one of my colleague’s paper titled ‘Multi-objective Linguistic Optimization: extensions and new directions using 2-tuple fuzzy linguistic representation model’, at the 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017) held at Naples, Italy during 9-12 July 2017. The paper presentation was scheduled to be held in the session: The Theory of Type-2 Fuzzy Sets and Systems-I, (chaired by Robert John and Josie McCulloch) and ‘Fuzzy Linguistic Decision Making’ (chaired by Luis Martínez and Enrique Herrera-Viedma) respectively. The sessions were attended by various other world known researchers from the field of fuzzy logic such as Robert John, Hani Hagras, Christian Wagner, Tufan Kumbasar, Oscar Castillo etc. After the presentations, we were asked various questions based on the work in our paper. After successfully answering those questions we found our paper to be one of the most discussed ones in that session. We were ultimately very inspired by the present researchers and hence found a good direction to carry forward our research in the future. As I had already mentioned earlier, I was able to get honest critiques about my work which were extremely helpful for me to work ahead in the paper. On the whole, attending the conference proved to be very beneficial for me as I was able to meet and initiate discussions about various research topics inside and outside my domain. Apart from getting an opportunity to interact with the world’s most eminent researchers, I was also able to get to know about the latest developments in the field of fuzzy logic, which would again be extremely beneficial for me as I have just begun my PhD. Lastly, I would like to thank ACM-W for giving me the opportunity to be present at one of the topmost conferences in the field of Computer Sciences.