2,061 research outputs found
Fuzzy P-spaces games and metacompactness
Fuzzy P-spaces are introduced and a characterization for the same in terms of a particular type of fuzzy topological game is obtained. Further some applications of fuzzy P-spaces in product -metacompact spaces are also investigated
Finitistic spaces in L-topological spaces
Abstract In this paper the concept of finitistic spaces in L-topological spaces is introduced by means of α-Q-covers of open Lsubsets. Also a characterization of finitistic spaces in the weakly induced L-topological spaces is obtained. Moreover the behavior of finitistic spaces under various types of maps such as fuzzy perfect maps is also investigated. 4
Fuzzy topological games, alpha-Metacompactness and alpha-perfect maps
The behavior of Fuzzy Toplogical Games and α-metacompactness under α-perfect maps are studied. Also an attempt is made to bring out some close relationships between Fuzzy Toplogical Games and α-metacompactness
Fuzzy P-spaces games and metacompactness
Fuzzy P-spaces are introduced and a characterization for the same in terms of a particular type of fuzzy topological game is obtained. Further some applications of fuzzy P-spaces in product -metacompact spaces are also investigated
Decision Making Based on the Aggregation Operator and the Intuitionistic Fuzzy Reduction Method of Intuitionistic Fuzzy Parameterized Intuitionistic Fuzzy Soft Sets
In this paper, we introduce the aggregation operator of IFPIFS set and apply this operator in a hypothetical decision making problem involving attributes and parameters that are subjective in nature. Specifically, this operator is applied in a decision making problem involving the selection of the best candidate for a vacant position in an organization. Next, we introduce an algorithm called the intuitionistic fuzzy (IF) reduction method which involves the reduction of the original IFPIFS set into an IF set and subsequently a fuzzy set which would then be used to determine the optimal solution for the problem. We demonstrate the application of this algorithm in an object recognition problem which involves subjective and uncertain data.
Algorithm Selection Framework for Cyber Attack Detection
The number of cyber threats against both wired and wireless computer systems
and other components of the Internet of Things continues to increase annually.
In this work, an algorithm selection framework is employed on the NSL-KDD data
set and a novel paradigm of machine learning taxonomy is presented. The
framework uses a combination of user input and meta-features to select the best
algorithm to detect cyber attacks on a network. Performance is compared between
a rule-of-thumb strategy and a meta-learning strategy. The framework removes
the conjecture of the common trial-and-error algorithm selection method. The
framework recommends five algorithms from the taxonomy. Both strategies
recommend a high-performing algorithm, though not the best performing. The work
demonstrates the close connectedness between algorithm selection and the
taxonomy for which it is premised.Comment: 6 pages, 7 figures, 1 table, accepted to WiseML '2
Global patterns in endemicity and vulnerability of soil fungi
Fungi are highly diverse organisms, which provide multiple ecosystem services. However, compared with charismatic animals and plants, the distribution patterns and conservation needs of fungi have been little explored. Here, we examined endemicity patterns, global change vulnerability and conservation priority areas for functional groups of soil fungi based on six global surveys using a high-resolution, long-read metabarcoding approach. We found that the endemicity of all fungi and most functional groups peaks in tropical habitats, including Amazonia, Yucatan, West-Central Africa, Sri Lanka, and New Caledonia, with a negligible island effect compared with plants and animals. We also found that fungi are predominantly vulnerable to drought, heat and land-cover change, particularly in dry tropical regions with high human population density. Fungal conservation areas of highest priority include herbaceous wetlands, tropical forests, and woodlands. We stress that more attention should be focused on the conservation of fungi, especially root symbiotic arbuscular mycorrhizal and ectomycorrhizal fungi in tropical regions as well as unicellular early-diverging groups and macrofungi in general. Given the low overlap between the endemicity of fungi and macroorganisms, but high conservation needs in both groups, detailed analyses on distribution and conservation requirements are warranted for other microorganisms and soil organisms
Global patterns in endemicity and vulnerability of soil fungi
Fungi are highly diverse organisms, which provide multiple ecosystem services.
However, compared with charismatic animals and plants, the distribution patterns and
conservation needs of fungi have been little explored. Here, we examined endemicity
patterns, global change vulnerability and conservation priority areas for functional
groups of soil fungi based on six global surveys using a high-resolution, long-read metabarcoding approach. We found that the endemicity of all fungi and most functional
groups peaks in tropical habitats, including Amazonia, Yucatan, West-Central Africa,
Sri Lanka, and New Caledonia, with a negligible island effect compared with plants
and animals. We also found that fungi are predominantly vulnerable to drought, heat
and land-cover change, particularly in dry tropical regions with high human population
density. Fungal conservation areas of highest priority include herbaceous wetlands,
tropical forests, and woodlands. We stress that more attention should be focused on
the conservation of fungi, especially root symbiotic arbuscular mycorrhizal and ectomycorrhizal fungi in tropical regions as well as unicellular early-diverging groups and
macrofungi in general. Given the low overlap between the endemicity of fungi and
macroorganisms, but high conservation needs in both groups, detailed analyses on
distribution and conservation requirements are warranted for other microorganisms
and soil organisms
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