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Fuzzy-logic-based methods and fuzzy logic formalism have been demonstrated as appropriate to address the uncertainty and subjectivity in complex environmental problems. This study investigates the use of three fuzzy logic methods in fisheries analysis, aiming towards the grouping and ranking of fishing subareas, according to their fisheries yield. Initially, a simple fuzzy c-means clustering model was applied to the fishing subareas examined. A rule-based Mamdani-type fuzzy inference system was then developed to allow the direct fishing subarea classification. Finally, a species-economic value weighted global fuzzy membership model was introduced, serving as an indirect classification and ranking scheme. Global memberships were plotted on simple ternary diagrams, producing representations that serve as tools in fisheries management. All methods examined the performance of the Greek fishing subareas, based on the annual landings series of the 10 most abundant fish species in terms of landed biomass, during the period 1985-1999.

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A B S T R A C TThe invasion of new technologies combined with the high cost for running shop force enterprises to search for new sales methods. Network applications and ICT (Information and Communication Technology) can help achieve e-commerce goals. In Greece, many enterprises in the agro-food and drink sectors are already present on the internet. This paper studies the adoption of e-commerce on websites that support e-commerce activities within the agro-food and drink sectors. Therefore, the paper aims to identify and evaluate their qualitative and quantitative content characteristics, rank them according to 6 content characteristics/criteria using the multicriteria method of PROMETHEE II and classify them in groups of similar adoption. The findings of this study reveal the rate of adoption of e-commerce in the sectors and can serve as a valuable model for the designers of websites that promote e-commerce activities within the wider areas of food and drinks