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Selection: with tag fuzzy [20 articles] 


Fuzzy set theory for predicting the potential distribution and cost-effective monitoring of invasive species

Ecological Modelling, Vol. 316 (2015), pp. 122-132,


The presence of invasive species has been predicted using species distribution models (SDMs) and presence-only data to assist environmental management. However, SDMs include substantial uncertainty and the lack of absence data hampers the use of probabilistic predictions. A non-statistical theoretical basis able to deal with uncertainty on which to model invasive species distributions with presence-only data is thus needed. Fuzzy set theory satisfies these two requirements but has been little used. This paper proposes a fuzzy modelling approach for predicting invasive ...


Fuzziness vs. probability

International Journal of General Systems, Vol. 17, No. 2-3. (June 1990), pp. 211-240,


Fuzziness is explored as an alternative to randomness for describing uncertainty. The new sets-as-points geometric view of fuzzy sets is developed. This view identifies a fuzzy set with a point in a unit hypercube and a nonfuzzy set with a vertex of the cube. Paradoxes of two-valued logic and set theory, such as Russell's paradox, correspond to the midpoint of the fuzzy cube. The fundamental questions of fuzzy theory—How fuzzy is a fuzzy set? How much is one fuzzy set a ...


Robust modelling of the impacts of climate change on the habitat suitability of forest tree species

Keywords: abies-alba   array-of-factors   artificial-neural-networks   bioclimatic-predictors   change-factor   climate-change   data-uncertainty   diversity   environmental-modelling   europe   extrapolation-uncertainty   featured-publication   forest-resources   free-scientific-knowledge   free-scientific-software   free-software   fuzzy   gdal   genetic-diversity   geospatial   geospatial-semantic-array-programming   gnu-bash   gnu-linux   gnu-octave   habitat-suitability   integration-techniques   mastrave-modelling-library   maximum-habitat-suitability   modelling-uncertainty   multiplicity   peseta-series   python   regional-climate-models   relative-distance-similarity   robust-modelling   semantic-array-programming   semantic-constraints   semantics   spatial-disaggregation   sres-a1b   supervised-training   unsupervised-training  


[::] In Europe, forests play a strategic multifunctional role, serving economic, social and environmental purposes. However, their complex interaction with climate change is not yet well understood. [::] The JRC PESETA project series proposes a consistent multi-sectoral assessment of the impacts of climate change in Europe. [::] Within the PESETA II project, a robust methodology is introduced for modelling the habitat suitability of forest tree species (2071-2100 time horizon). [::] Abies alba (the silver fir) is selected as case study: a main European tree ...


  1. European Commission, 2013. Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions - A new EU forest strategy: for forests and the forest based sector. No. COM(2013) 659 final. Communication from the Commission to the Council and the European Parliament. , INRMM-MiD:12642065 .
  2. European Commission, 2013. Commission staff working document accompanying the document: Communication from the commission to

Multispecies coalescent delimits structure, not species

Proceedings of the National Academy of Sciences, Vol. 114, No. 7. (14 February 2017), pp. 1607-1612,


[Significance] Despite its widespread application to the species delimitation problem, our study demonstrates that what the multispecies coalescent actually delimits is structure. The current implementations of species delimitation under the multispecies coalescent do not provide any way for distinguishing between structure due to population-level processes and that due to species boundaries. The overinflation of species due to the misidentification of general genetic structure for species boundaries has profound implications for our understanding of the generation and dynamics of biodiversity, because any ecological ...


Involve social scientists in defining the Anthropocene

Nature, Vol. 540, No. 7632. (7 December 2016), pp. 192-193,


The causes of Earth's transition are human and social, write Erle Ellis and colleagues, so scholars from those disciplines must be included in its formalization. ...


Predicting plant species richness in a managed forest

Forest Ecology and Management, Vol. 180, No. 1-3. (July 2003), pp. 583-593,


This paper describes an attempt to predict ground flora species richness under various forest management scenarios. The approach is based on a geographic information system (GIS) and uses three standard map layers of topography, soils and stands to derive environmental gradients of light, nutrients, water and disturbance. A simple floristic survey provides the data necessary to relate plant distribution with environmental variables. The potential distribution of 60 understorey plant species is modelled based on the four derived gradients. The sum of ...


(INRMM-MiD internal record) List of keywords of the INRMM meta-information database - part 16

(February 2014)
Keywords: forest-management   forest-pathogens   forest-pests   forest-product   forest-regeneration   forest-reproductive-material   forest-resource-information   forest-resources   forest-species   forest-species-composition   forest-structure   forest-succession   forest-types   forest-watering   forestcommunities   forestry   forestry-statistics   fortran   foss   fossil-energy   fossil-resources   fp7-european-research-project   fracking   fractal   fragmentation   fragmented-world   frainetto   france   frangula-alnus   frangula-spp   fraxinus-angustifolia   fraxinus-augustifolia   fraxinus-excelsior   fraxinus-mandshurica   fraxinus-ornus   fraxinus-pennsylvanica   fraxinus-spp   free-access   free-access-book   free-riders   free-science-metrics   free-scientific-knowledge   free-scientific-software   free-software   free-software-directory   free-software-license-definition   freebsd   freedom   freemat   freeze-protection   french-alps   frequency   frost   frost-damage   frost-resistance   frost-sensitivity   fruticosa   fuel   fuel-moisture   fuelwood   functional-connectivity   functional-descriptors   functional-programming   functional-traits   funding   fungal-decay   fungal-diseases   fungi   fusarium-circinatum   fusarium-lateritium   future   future-climatic-envelopes   future-earth   future-fire-activity   future-internet   future-trends   fuzzy   gaia   galanthus-plicatus   galicia   gall-attributes   game-theory   garbage-in-garbage-out   gardening   gargano   garrulus-glandarius   gbif   gc-ms   gcm   gdal   gemmae-populi   gender-biases   gene-bank   gene-conservation   general-relation   generalized-additive-model   generalized-additive-models   generalized-linear-model   generalized-linear-models   inrmm-list-of-tags  


List of indexed keywords within the transdisciplinary set of domains which relate to the Integrated Natural Resources Modelling and Management (INRMM). In particular, the list of keywords maps the semantic tags in the INRMM Meta-information Database (INRMM-MiD). [\n] The INRMM-MiD records providing this list are accessible by the special tag: inrmm-list-of-tags ( ). ...


Global climate and the distribution of plant biomes

Philosophical Transactions of the Royal Society of London B: Biological Sciences, Vol. 359, No. 1450. (29 October 2004), pp. 1465-1476,


Biomes are areas of vegetation that are characterized by the same life-form. Traditional definitions of biomes have also included either geographical or climatic descriptors. This approach describes a wide range of biomes that can be correlated with characteristic climatic conditions, or climatic envelopes. The application of remote sensing technology to the frequent observation of biomes has led to a move away from the often subjective definition of biomes to one that is objective. Carefully characterized observations of life-form, by satellite, have been used to reconsider biome ...


Neuro-fuzzy and neural network systems for air quality control

Atmospheric Environment, Vol. 43, No. 31. (October 2009), pp. 4811-4821,


In order to define efficient air quality plans, Regional Authorities need suitable tools to evaluate both the impact of emission reduction strategies on pollution indexes and the costs of such emission reductions. The air quality control can be formalized as a two-objective nonlinear mathematical problem, integrating source–receptor models and the estimate of emission reduction costs. Both aspects present several complex elements. In particular the source–receptor models cannot be implemented through deterministic modelling systems, that would bring to a computationally unfeasible mathematical ...


Decision Evaluation of Response Strategies in Emergency Management Using Imprecise Assessments

Journal of Homeland Security and Emergency Management, Vol. 7, No. 1. (1 January 2010),


This paper focuses on the decision evaluation of different response strategies in emergency management utilizing decision analysis with imprecise information. A method for the selection of response strategies in emergency management, as well as a model for the representation of catastrophic consequences, are proposed. In emergency management decision problems, the available estimates of probabilities, utilities, costs, and priority weights are often subject to large degrees of uncertainty and imprecision. When uncertainty prevails in the input data and large societal values are ...


Potential hazard analysis and risk assessment of debris flow by fuzzy modeling

Natural Hazards In Natural Hazards, Vol. 64, No. 1. (17 June 2012), pp. 273-282,


Taiwan is a mountainous country, so there is an ever present danger of landslide disasters during the rainy seasons or typhoons. This study aims to develop a fuzzy-rule-based risk assessment model for debris flows and to verify the accuracy of risk assessment so as to help related organizations reduce losses caused by debris flows. The database is comprised of information from actual cases of debris flows that occurred in the Hualien area of Taiwan from 2007 to 2008. The established models ...


Uncertainty: A Meta-Property of Software

In Software Engineering Workshop, 2005. 29th Annual IEEE/NASA (April 2005), pp. 228-233,


Uncertainty pervades all aspects of engineering, and its management is of paramount importance. In software engineering, uncertainty can occur at many levels. It can appear in the software artifacts including requirements specifications, designs, and the code itself. Uncertainty can also manifest in the way we use tools, and in the engineering practices employed. It is even present in the life cycle methodologies we employ. In short, uncertainty is a persistent, negative quality of both the software and the processes that rendered ...


Floods in a changing climate



"Flood risk management is presented in this book as a framework for identifying, assessing and prioritizing climate-related risks and developing appropriate adaptation responses. Rigorous assessment is employed to determine the available probabilistic and fuzzy set-based analytic tools, when each is appropriate and how to apply them to practical problems. Academic researchers in the fields of hydrology, climate change, environmental science and policy and risk assessment, and professionals and policy-makers working in hazard mitigation, water resources engineering and environmental economics, will find ...


Reservoir-system simulation and optimization techniques

Stochastic Environmental Research and Risk Assessment In Stochastic Environmental Research and Risk Assessment, Vol. 27, No. 7. (2013), pp. 1751-1772,


Reservoir operation is one of the challenging problems for water resources planners and managers. In developing countries the end users are represented by the water sectors in most parts and conflict over water is resolved at the agency level. This paper discusses an overview of simulation and optimization modeling methods utilized in resolving critical issues with regard to reservoir systems. In designing a highly efficient as well as effective dam and reservoir operational system, reservoir simulation constitutes one of the most ...


Expert system & knowledge engineering in Wikipedia

In Compilation (September 2012)
edited by Mohsen Kahani


Compilation of topics published in Wikipedia on Expert System and Knowledge Engineering: Expert system; Knowledge representation and reasoning, Reasoning system; Forward chaining; Rete algorithm; Backward chaining; Backward induction; Production system; Production Rule Representation; Inference engine; Fuzzy logic; Fuzzy control system; Artificial neural network; Types of artificial neural networks; Feedforward neural network; Self-organizing map; Hybrid intelligent system; Neuro-fuzzy; Genetic fuzzy systems; Knowledge engineering; Knowledge retrieval; Knowledge acquisition; Knowledge management; Data warehouse; Extract, transform, load; Star schema; Snowflake schema; Data mining; Cross Industry Standard Process for Data Mining; Statistical classification; Cluster analysis; Association rule learning; Sequence mining; Anomaly detection. ...


Decision making by hybrid probabilistic: Possibilistic utility theory

Panoeconomicus, Vol. 56, No. 4. (2009), pp. 421-433,


It is presented an approach to decision theory based upon nonprobabilistic uncertainty. There is an axiomatization of the hybrid probabilistic possibilistic mixtures based on a pair of triangular conorm and triangular norm satisfying restricted distributivity law, and the corresponding non-additive Smeasure. This is characterized by the families of operations involved in generalized mixtures, based upon a previous result on the characterization of the pair of continuous t-norm and t-conorm such that the former is restrictedly distributive over the latter. The obtained ...


Coupling fuzzy modeling and neural networks for river flood prediction

Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, Vol. 35, No. 3. (August 2005), pp. 382-390,


Over the last decade, neural network-based flood forecast systems have been increasingly used in hydrological research. Usually, input data of the network are composed by past measurements of flows and rainfalls, without providing a description of the saturation state of the basin, which, in contrast, plays a key role in the rainfall-runoff process. This paper couples neural networks and fuzzy logic in order to enrich the description of the basin saturation state for flood forecasting purposes. The basin state is assessed ...


Continental-scale living forest biomass and carbon stock: a robust fuzzy ensemble of IPCC Tier 1 maps for Europe

IFIP Advances in Information and Communication Technology, Vol. 413 (2013), pp. 271-284,


Forest ecosystems play a key role in the global carbon cycle. Spatially explicit data and assessments of forest biomass and carbon are therefore crucial for designing and implementing effective sustainable forest management options and forest related policies. In this contribution, we present European-wide maps of forest biomass and carbon stock spatially disaggregated at 1km x 1km. The maps originated from a spatialisation improvement of the IPCC methodology for estimating the forest biomass at IPCC Tier 1 level (IPCC-T1). [\n] Using a categorical ...

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Multi-scale robust modelling of landslide susceptibility: regional rapid assessment and catchment robust fuzzy ensemble

IFIP Advances in Information and Communication Technology, Vol. 413 (2013), pp. 321-335,


Landslide susceptibility assessment is a fundamental component of effective landslide prevention. One of the main challenges in landslides forecasting is the assessment of spatial distribution of landslide susceptibility. Despite the many different approaches, landslide susceptibility assessment still remains a challenge. A semi-quantitative method is proposed combining heuristic, deterministic and probabilistic approaches for a robust catchment scale assessment. A fuzzy ensemble model has been exploited for aggregating an array of different susceptibility zonation maps. Each susceptibility zonation has been obtained by applying ...


Optimal Fuzzy Management of Reservoir based on Genetic Algorithm

In Foundations of Generic Optimization, Vol. 24 (2008), pp. 139-159,


This chapter deals with water resource management problems faced from an Automatic Control point of view. The motivation for the study is the need for an automated management policy for an artificial reservoir (dam). A hybrid model of the reservoir is considered and implemented in Stateflow/Simulink, and a fuzzy decision mechanism is implemented in order to produce different water release strategies. A new cost functional is proposed, able to weight user’s desiderata (in terms of water demand) with water waste (in ...

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Integrated Natural Resources Modelling and Management - Meta-information Database.

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Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
The library of INRMM related pubblications may be quickly accessed with the following links.
Search within the whole INRMM meta-information database:
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Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.