Key issues in applied and fundamental research related to fuzzy logic and intelligent technologies in the nuclear industry, and related fields are detailed in these papers, which cover applications in radiation protection, nuclear safety, decision making and nuclear reactor control.

Recent developments in fuzzy logic and intelligent technologies, H.J. Zimmermann; principles of uncertainty - what they are? why do we need them?, G.J. Klir; man-machine systems research at the OECD Halden reactor project, F. Owre; a review on applications of fuzzy logic control in industry, A.J. van der Wal; self-turning fuzzy logic nuclear reactor controller, N.K. Alang-Rashid and A.S. Heger; computer assisted reliability analysis - an application of possibilistic reliability theory to a subsystem of a nuclear power plant, B. Cappelle and E.E. Kerre; fuzzy controllers in nuclear material accounting, A. Zardecki; real-time diagnosis of incipient multiple faults with application for nuclear power plant, H. Chung and Z. Bien; fuzzy model-based control of a nuclear reactor, L. Van den Durpel and D. Ruan; uncertainty management in radioactive waste repository site assessment, J.F. Baldwin et al; SCC susceptibility analysis of stainless steels in nuclear reactor water - a neural network and expert system approach, H.M.O. Smets and W.F.L. Bogaerts; on the application of fuzzy set theory in the field of nuclear engineering and safeguards, Y. Nishiwaki; fuzzy logic and nuclear production processes, E. Trauwaert et al; fuzzy linguistic interface for data bases in nuclear safety problems, B. Lyapin and A. Ryjov. (Part Contents).