Results 241 to 250 of about 165,966,491 (301)

Solution of supply chain management problems using rough t spherical fuzzy set lower and upper approximation spaces. [PDF]

Sci Rep
Zhao X, Zhou Y, Sun L.
europepmc   +1 more source

Chromatin architecture mapping by multiplex proximity tagging. [PDF]

Mol Cell
Delamarre A, Bailey B, Yavid J, Koche R, Mohibullah N, Whitehouse I.   +5 more
europepmc   +1 more source

A fuzzy time-series driven ensemble approach for accurate forecasting of higher education rankings. [PDF]

Sci Rep
Agarwal N, Tayal DK, Rajeena PPF, Rahoof PP, Alkhaldi N, Ali MAS, Sunder R, Ali HS.   +7 more
europepmc   +1 more source

A Dynamic Hybrid Weighting Framework for Teaching Effectiveness Evaluation in Multi-Criteria Decision-Making: Integrating Interval-Valued Intuitionistic Fuzzy AHP and Entropy Triggering. [PDF]

Entropy (Basel)
Lu C, Zhang Y.
europepmc   +1 more source

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Measures of fuzzy sets and measures of fuzziness

Fuzzy Sets and Systems, 1984
Denote \((\Omega,{\mathcal B})\) a measurable space. Let M be a positive real number or infinity. Consider the segment \([0,M]\) and a binary operation \(\perp\) defined on [0,M]. The operation \(\perp\) is supposed to be non- decreasing in each argument, commutative, associative and has 0 as unit.
Siegfried Weber
exaly   +3 more sources

A fuzziness measure for fuzzy numbers: Applications

Fuzzy Sets and Systems, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Miguel Delgado, M A Vila
exaly   +3 more sources

A pseudo-measure of fuzziness [PDF]

, 2001
Summary: We give an example of the gradation of openness (a fuzzy topology in Shostak's sense) and deduce from it a pseudo-measure of fuzziness.
Estruch, Vicente D., Pastor, José
openaire   +3 more sources

Divergence and fuzziness measures

Soft Computing, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
BENVENUTI, Pietro, VIVONA, Doretta, M. DIVARI   +2 more
openaire   +5 more sources

ON MEASURES OF FUZZINESS AND FUZZY COMPLEMENTS

International Journal of General Systems, 1982
An axiomatic framework for formalizing the most general class of fuzzy complements is introduced in this paper. It is then used for investigating a general class of measures of fuzziness based on the view that the degree of fuzziness of a fuzzy set should characterize the lack of distinction between the set and its complement.
Masahiko Higashi
exaly   +2 more sources

Fuzziness measures for fuzzy rectangles

Fuzzy Sets and Systems, 1990
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Andrea Sgarro
exaly   +4 more sources