• QCA

  • Referenced in 3 articles [sw25855]
  • temporal (’tQCA’), multi-value (’mvQCA’) and fuzzy sets (’fsQCA’), using a GUI - graphical user interface...
  • SUCRAGE

  • Referenced in 3 articles [sw12332]
  • Knowledge based supervised fuzzy-classification: an application to image processing. In this paper, we take ... obtained by supervised learning from a training set. The proposed learning method is multi-featured ... hand, the feature space partition allows a fuzzy representation of the features and data imprecision ... manipulations of membership functions of fuzzy sets, we propose to use a context-oriented approximate...
  • FuRIA

  • Referenced in 3 articles [sw25134]
  • solution based feature extraction algorithm using fuzzy set theory for brain-computer interfaces. This paper ... solutions and on the new concepts of fuzzy region of interest (ROI) and fuzzy frequency...
  • Fuzzy sets for Ada

  • Referenced in 1 article [sw05537]
  • Fuzzy sets for Ada is a library providing implementations of confidence factors with the operations ... classical fuzzy sets with the set-theoretic operations and the operations of the possibility theory ... intuitionistic fuzzy sets with the operations on them, fuzzy logic based on the intuitionistic fuzzy ... sets and the possibility theory; fuzzy numbers, both integer and floating-point with conventional arithmetical...
  • Nefrit

  • Referenced in 2 articles [sw04094]
  • extent, the system utilizes possibilities of fuzzy set theory, including applications of the theory ... meanings of linguistic expressions (linguistic variable theory). Fuzzy numbers model expert evaluations of alternatives according ... theoretically worked out. An overall fuzzy utility function is set by a rule base...
  • BProbe

  • Referenced in 9 articles [sw16717]
  • classical limit of a fuzzy brane described by a set of matrices...
  • Fuzzy.p.value

  • Referenced in 2 articles [sw16286]
  • value which is defined as a fuzzy set on the unit interval for three following ... problems: (1) testing crisp hypotheses based on fuzzy data, (2) testing fuzzy hypotheses based...
  • FPV

  • Referenced in 2 articles [sw38047]
  • value which is defined as a fuzzy set on the unit interval for three following ... problems: (1) testing crisp hypotheses based on fuzzy data, see Filzmoser and Viertl...
  • rdrobust

  • Referenced in 7 articles [sw16277]
  • cutoff in Sharp, Fuzzy and Kink RD settings, rdbwselect() to perform bandwidth selection...
  • frbs

  • Referenced in 2 articles [sw24181]
  • based on the concept of fuzzy sets, proposed by Zadeh in 1965, which aims ... reasoning of human experts in a set of IF-THEN rules, to handle real-life ... robotics. FRBSs are also known as fuzzy inference systems and fuzzy models. During the modeling...
  • fso

  • Referenced in 1 article [sw25477]
  • package fso: Fuzzy Set Ordination. Fuzzy set ordination is a multivariate analysis used in ecology...
  • DIDASN++

  • Referenced in 2 articles [sw25293]
  • simulation. Algebraic differentiation and sensitivity analysis, fuzzy set representation of modeler preferences are also useful...
  • Fuzzycreator

  • Referenced in 1 article [sw31250]
  • automatically generating and analysing data-driven fuzzy sets. This paper presents a toolkit for automatic ... generation and analysis of fuzzy sets (FS) from data. Toolkits are vital for the wider ... literature that focus on knowledge representation and fuzzy inference, but there are few that focus...
  • ReSySTER

  • Referenced in 2 articles [sw09384]
  • scrum team roles based on fuzzy and rough sets. Agile development is a crucial issue ... hybrid recommender system based on fuzzy logic, rough set theory and semantic technologies, aimed...
  • FuzzyART

  • Referenced in 1 article [sw42103]
  • Elnabarawy, and Wunsch 2019). By incorporating fuzzy set theroy operators, fuzzy ART is capable...
  • BrainWeb

  • Referenced in 48 articles [sw16790]
  • neuroimaging community, online on WWW, a set of realistic simulated brain MR image volumes (Simulated ... simulator, which: ffl starts from a fuzzy digital phantom containing the spatial...
  • COCQPSO

  • Referenced in 1 article [sw10247]
  • scrutinize the performance of COCQPSO on a set of widely used benchmark instances. By benchmarking ... that its performance compares very favorably. The fuzzy combinatorial optimization algorithm of cloud model ... behaved particle swarm optimization (FCOCQPSO) in vague sets (IVSs ... more expressive than the other fuzzy sets. Finally, numerical examples show the clustering effectiveness...
  • FCOCQPSO

  • Referenced in 1 article [sw10260]
  • scrutinize the performance of COCQPSO on a set of widely used benchmark instances. By benchmarking ... that its performance compares very favorably. The fuzzy combinatorial optimization algorithm of cloud model ... behaved particle swarm optimization (FCOCQPSO) in vague sets (IVSs ... more expressive than the other fuzzy sets. Finally, numerical examples show the clustering effectiveness...
  • DYFRAT

  • Referenced in 1 article [sw32789]
  • modeling human rating evaluations from a fuzzy-set perspective (Calcagni’ & Lombardi, 2014). In particular, DYFRAT ... captures the fuzziness of human ratings by modeling some real-time biometric events that occur ... process of rating in an ecological measurement setting. This methodology records peculiar cognitive information (derived ... physical components into a common and comprehensive fuzzy model which allows to express the overall...
  • QCAGUI

  • Referenced in 1 article [sw25856]
  • csQCA), temporal (tQCA), multi-value (mvQCA), fuzzy sets (fsQCA), and even coincidence analysis...