Switching to numerical scale in marine environmental decision support systems: Fuzzy logic approach

Baziukė, Dalia; Juščenko, Natalija; Šiaulys, Andrius

doi:10.1016/j.ocecoaman.2014.02.002

Cited by 4 publications

(6 citation statements)

References 14 publications

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“…According to Patavalis, Aravossis (2002), technological environmental approach appeals to the methods and Briggs et al (1990) oil and gas pipeline planning Tavana et al (2013) choice of systems for drying seeds and powder materials Prvulovic et al (2011) Multi-criteria model selection of a technology for the disposal of plutonium Dyer et al (1998) post-earthquake sustainable reconstruction Opricovic, Tzeng (2002) measurement of sustainable performance Ding 2005 territory planning Ustinovichius et al (2011) Regional planning model planning of an urban solid waste Caruso et al (1993) urban planning Juškevičius, Burinskienė (2007) development of creative economy Comunian et al (2014) Decision support system effective planning and management of household recyclable solid waste Benson, Page (1998) urban planning Mitraka et al (2014) marine environmental Baziuke et al (2014) ELECTRE III method solid waste management system Hokkanen, Salminen (1997) the oil and gas industry analysis De Carvalho Infante et al 2013Heuristic method planning of household waste disposal Skordilis (1989) Cumulative Analyse of sequence alignments to estimate evolutionary distances Tamura et al (2007) Comparative protein modelling Rational design of mutagenesis experiments Guex, Peitsch (1997) models as follows: 1) PROMETHEE and GALA; 2) multicriteria model; 3) regional planning model; 4) decision support system; 5) ELECTRE III method; 6) heuristic method. Additionally, it appeals to CEENE, SEM, robotics, adaptive K-means methods and other methods, models and theories (see Table 2).…”

Section: Technological Environmental Discourse Comparing With Other Smentioning

confidence: 99%

Environmental Discourses and the Question of Creative Environment in a City

Kačerauskas

2016

Journal of Environmental Engineering and Landscape Management

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The paper deals with the different environmental discourses and the question whether the city is a creative environment. The theses have been developed as follows: 1) there are different environmental discourses including technological, sociological, ecological, religious, philosophical (ethical), urban, and discourse of creativity; 2) a novelty of a discourse follows from the interdisciplinary character, i.e. From a combination of the discourses; 3) a city both attracts and turns away the creative workers: here there are many occasions of creative activities and spreading of creation, however at the same time there is an anti-ecological environment that also uniforms creation; 4) although cosmopolitanism and globalism are intimately connected, they could be evaluated as two contrary principles: the first one is to be connected with the principle of difference, the latter – with the principle of unification; 5) although there are many debates concerning such social formation as the creative class, it is the main element and engine of a creative society.

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Section: Technological Environmental Discourse Comparing With Other Smentioning

confidence: 99%

Environmental Discourses and the Question of Creative Environment in a City

Kačerauskas

2016

Journal of Environmental Engineering and Landscape Management

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“…or example, Gimpel et al in [14] icit risk assessment and exploits nt of current and future spatial usive Economic Zone (EEZ) in ample by managing cumulative their Bayesian Belief Network-K continental shelf to assess the management measures. As well, zzy mapping, with the manual in Lithuanian Baltic Sea that is uracy [17] and GIS based multirivers at a very beginning of the put is planned to be a sensitivity ensitivity of an area depends on itat or species is one that is very recover only over a very long agers to link marine resources to ility of key species in biotopes, heir response to pressures. An anian Baltic Sea.…”

Section: Sensitivity Assessmentmentioning

confidence: 99%

“…If X is the universe of discourse and its el = {x, μA(x) | x∈X}, where μA(x) is membership function (or MF) of x i membership function maps each element o membership, the greater is the membership o an important motivation to use such an apro fuzziness was developed by L. Zadeh [20] an With our development, presented in [17] (Fig. 2) that can be used to extract numeric intolerance and recoverability for the case.…”

Section: Fuzzy Logic Approachmentioning

confidence: 99%

“…Ev species above has their individual respo cal scale on the existing methodology of sensitivity a LIN) is proposed in [17]. Recoverability is one of the oit the resilience rather than recoverability.…”

Section: Activity Decomposition and Samplingmentioning

confidence: 99%

“…The notion of fuzzy set is co oach in the situation with the lack of data and incomp nd first published in 1965. ] we transform MarLIN [11] [17].…”

Section: Activity Decomposition and Samplingmentioning

confidence: 99%

See 2 more Smart Citations

Developing a system for mapping sensitive marine areas

Baziukė

Juščenko

Šiaulys

et al. 2014

2014 IEEE/OES Baltic International Symposium (BALTIC)

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Natural values of marine ecosystems often overlap with human activities. In order to reduce or even eliminate conflicts arising a considerable amount of information is needed: identification of marine activities, their location and scale, as well as the environment's response to separate pressures or different sets of impacts. Furthermore, the value itself can be estimated differently, since valuation assessments range from the anthropocentric to bio-centric point of view. In this study, the concept of a system for mapping the most sensitive marine areas in the Lithuanian marine area is introduced. It is based on the sensitivity assessment numerical scales of species and biotopes. It is being integrated into the geospatial database. Integration of such information into a GISbased multi-criteria evaluation system can generate sensitivity maps of benthic habitats. These maps can provide important information on the most threatened to anthropogenic pressures marine areas. The system could also serve as a tool for marine spatial planning and providing a good background for decision making, i.e. the placement of activities in the least sensitive areas.

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Reducing the arbitrary: fuzzy detection of microbial ecotones and ecosystems – focus on the pelagic environment

Bagnaro

Baltar

Brownstein

et al. 2020

Environmental Microbiome

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Background: One of the central objectives of microbial ecology is to study the distribution of microbial communities and their association with their environments. Biogeographical studies have partitioned the oceans into provinces and regions, but the identification of their boundaries remains challenging, hindering our ability to study transition zones (i.e. ecotones) and microbial ecosystem heterogeneity. Fuzzy clustering is a promising method to do so, as it creates overlapping sets of clusters. The outputs of these analyses thus appear both structured (into clusters) and gradual (due to the overlaps), which aligns with the inherent continuity of the pelagic environment, and solves the issue of defining ecosystem boundaries. Results: We show the suitability of applying fuzzy clustering to address the patchiness of microbial ecosystems, integrating environmental (Sea Surface Temperature, Salinity) and bacterioplankton data (Operational Taxonomic Units (OTUs) based on 16S rRNA gene) collected during six cruises over 1.5 years from the subtropical frontal zone off New Zealand. The technique was able to precisely identify ecological heterogeneity, distinguishing both the patches and the transitions between them. In particular we show that the subtropical front is a distinct, albeit transient, microbial ecosystem. Each water mass harboured a specific microbial community, and the characteristics of their ecotones matched the characteristics of the environmental transitions, highlighting that environmental mixing lead to community mixing. Further explorations into the OTU community compositions revealed that, although only a small proportion of the OTUs explained community variance, their associations with given water mass were consistent through time. Conclusion: We demonstrate recurrent associations between microbial communities and dynamic oceanic features. Fuzzy clusters can be applied to any ecosystem (terrestrial, human, marine, etc) to solve uncertainties regarding the position of microbial ecological boundaries and to refine the relation between the distribution of microorganisms and their environment.

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Switching to numerical scale in marine environmental decision support systems: Fuzzy logic approach

Cited by 4 publications

References 14 publications

Environmental Discourses and the Question of Creative Environment in a City

Environmental Discourses and the Question of Creative Environment in a City

Developing a system for mapping sensitive marine areas

Reducing the arbitrary: fuzzy detection of microbial ecotones and ecosystems – focus on the pelagic environment

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