Special Sessions – IFSA 2023

Special Sessions

SS01	Robotic and Intelligent Systems Ching-Chih Tsai (National Chung Hsing University, Taiwan) Shun-Feng Su (National Taiwan University of Science and Technology, Taiwan) In this special session, we intend to collect papers that reflect current progress in the Robotic and Intelligent Systems. We hope those papers can set a milestone for the Robotic and Intelligent Systems and also provide ideas for further exploration in this promising research area. At present, there are five papers in this topic in our collected papers.
SS02	Intelligent Systems and Fuzzy Modeling Jin-Tsong Jeng (National Formosa University, Taiwan) Chen-Chia Chuang (National iLan University, Taiwan) In this special session, we intend to collect papers that reflect current progress in the Intelligent Systems and Fuzzy Modeling. We hope those papers can set a milestone for the Intelligent Systems and Fuzzy Modeling and also provide ideas for further exploration in this promising research area. At present, there are five papers in this topic in our collected papers.
SS03	Interval Uncertainty Martine Ceberio (University of Texas at El Paso, USA) Vladik Kreinovich (University of Texas at El Paso, USA) Interval uncertainty is closely related to fuzzy techniques: indeed, if we want to know how the fuzzy uncertainty of the inputs propagates through the data processing algorithm, then the usual Zadeh’s extension principle is equivalent to processing alpha-cuts (intervals) for each level alpha. This relation between intervals and fuzzy computations is well known, but often, fuzzy researchers are unaware of the latest most efficient interval techniques and thus use outdated less efficient methods. One of the objectives of the proposed session is to help fuzzy community by explaining the latest interval techniques and to help interval community to better understand the related interval computation problems. Yet another relation between interval and fuzzy techniques is that the traditional fuzzy techniques implicitly assume that experts can describe their degree of certainty in different statements by an exact number. In reality, it is more reasonable to expect experts to provide only a rage (interval) of possible values — leading to interval-valued fuzzy techniques that, in effect, combine both types of uncertainty.
SS04	Forward Looking Decision-making under Uncertainty Mikael Collan (LUT University, Finland) Pasi Luukka (LUT University, Finland) The session concentrates on supporting forward looking decision-making in the presence of uncertainty. The session is not “method specific”. The decision-making support context is not and may include for example economic, health- and engineering related decision-making.
SS05	High Performance Knowledge System and Its Application to Intelligent Systems for the Elderly Jin-Woo Jung (Dongguk University, Korea) This organized session aims at discussing the basic principles and methods of designing care systems for the elderly based on high performance knowledge engineering. Topics of interest include, but are not limited to theory and application of: Machine/Deep learning and Artificial Intelligence for the elderly Action/Gesture Recognition for the elderly Internet of Things for the elderly Sensor networks/Intelligent sensors technology and application for the elderly Bioinformatics for the elderly Weakness/Secure Coding/Evaluation System/Vulnerability evaluation Papers are invited from prospective authors with interest on the related areas.
SS06	Maritime Intelligent Systems Joo Sung Kim (Mokpo National Maritime University) Dong-Woo Kang (KRISO, Korea Research Institute of Ships and Ocean Engineering) In this session, we present the state of art for the MIS(Maritme Intelligent Systems). Recently the maritme autonomous technologies have been applied for intelligent ship operation and magnagement. The deep learning and intelligent algorithms have also incorporated to realize the autonomous operation. We expect that the MIS session provides valuable and interesting discussions and presentations for the future promising research.