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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    OR spectrum 20 (1998), S. 189-198 
    ISSN: 1436-6304
    Keywords: Fuzzy Retrieval ; Lineare Boolesche Optimierung ; Entscheidungsunterstützende Systeme ; Angebotssysteme ; Fuzzy retrieval ; Linear Boolean optimization ; Decision support systems ; Sales systems
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics , Economics
    Description / Table of Contents: Abstract This paper describes a technique which determines suitable product offers from data bases using the theory of fuzzy sets. Each of the decision criteria is assessed by the customer. His preferences are transformed into membership functions. One gets a suitable offer by maximizing a function which results from the composition of the individual membership functions. We propose the Werners operator for this composition because it permits the search for a suitable offer to be performed by solving a linear Boolean optimization task and it reacts more sensitively to customer wishes than the minimum operator. This approach is also feasible for solely verbal criteria and data bases of bigger size.
    Notes: Zusammenfassung In der Arbeit wird gezeigt, wie mit Hilfe der Theorie der unscharfen Mengen geeignete Angebote aus Datenbanken bestimmt werden können. Zur Berechnung wird jedes der einzelnen Entscheidungskriterien durch den Kunden eingeschätzt. Seine Präferenzen werden in Zugehörigkeitsfunktionen umgesetzt. Ein geeignetes Angebot erhält man nun durch Maximierung einer Funktion, die sich als Komposition der einzelnen Zugehörigkeitsfunktionen ergibt. Für diese Verknüpfung schlagen wir den Werners-Operator vor, da er die Suche nach einem geeigneten Angebot durch Lösung einer linearen Booleschen Optimierungsaufgabe zuläßt und sensitiver auf die Kundenwünsche reagiert als der Minimumoperator. Dieser Zugang ist auch möglich bei nur verbal formulierbaren Kriterien und größeren Datenbanken.
    Type of Medium: Electronic Resource
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  • 2
    Publication Date: 2021-10-28
    Description: In surface waters, the illumination of photoactive engineered nanomaterials (ENMs) with ultraviolet (UV) light triggers the formation of reactive intermediates, consequently altering the ecotoxicological potential of co-occurring organic micropollutants including pesticides due to catalytic degradation. Simultaneously, omnipresent natural organic matter (NOM) adsorbs onto ENM surfaces, altering the ENM surface properties. Also, NOM absorbs light, reducing the photo(cata)lytic transformation of pesticides. Interactions between these environmental factors impact 1) directly the ecotoxicity of photoactive ENMs, and 2) indirectly the degradation of pesticides. We assessed the impact of field-relevant UV radiation (up to 2.6 W UVA/m²), NOM (4 mg TOC/L), and photoactive ENM (nTiO2, 50 µg/L) on the acute toxicity of 6 pesticides in Daphnia magna. We selected azoxystrobin, dimethoate, malathion, parathion, permethrin, and pirimicarb because of their varying photo- and hydrolytic stabilities. Increasing UVA alone partially reduced pesticide toxicity, seemingly due to enhanced degradation. Even at 50 µg/L, nano-sized titanium dioxide (nTiO2) reduced but also increased pesticide toxicity (depending on the applied pesticide), which is attributable to 1) more efficient degradation and potentially 2) photocatalytically induced formation of toxic by-products. Natural organic matter 1) partially reduced pesticide toxicity, not evidently accompanied by enhanced pesticide degradation, but also 2) inhibited pesticide degradation, effectively increasing the pesticide toxicity. Predicting the ecotoxicological potential of pesticides based on their interaction with UV light or interaction with NOM was hardly possible, which was even more difficult in the presence of nTiO2. Environ Toxicol Chem 2020;39:2237–2246. © 2020 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
    Keywords: 363.73 ; Photolysis ; Photocatalysis ; Titanium dioxide ; Pesticide ; UV radiation ; Natural organic matter
    Language: English
    Type: map
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