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How Does Social Frailty Evolve Among Patients with Prostate Cancer? Evidence from Regression Models versus Fuzzy Set Qualitative Comparative Analysis. [PDF]
Risk Manag Healthc PolicyWan Y +5 more
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Image contraction through fuzzy soft outerplanar graph structures. [PDF]
Sci RepJaisankar D, Ramalingam S, Zegeye GB.
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Fuzzy decision making for cross domain sentiment analysis and MABAC approach with complex T-spherical fuzzy operators. [PDF]
Sci RepQi Y.
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Countermovement Jump Force-Time Mechanics Differentiate ACL Injury Status in Elite Alpine Ski Racers. [PDF]
Scand J Med Sci SportsMorris N +5 more
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Imaging-derived neuromuscular ultrasound phenotypes are associated with functional status in amyotrophic lateral sclerosis. [PDF]
J NeurolWang Y +9 more
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Covariate Adjusted Functional Mixed Membership Models. [PDF]
Stat Data Sci ImagingMarco N +5 more
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Rough-fuzzy membership functions
1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228), 2002This paper generalizes the concept of rough membership functions in pattern classification tasks to rough-fuzzy membership functions. Unlike the rough membership value of a pattern, which is sensitive only towards the rough uncertainty associated with the pattern, the rough-fuzzy membership value of the pattern signifies the rough uncertainty as well ...
M. Sarkar, B. Yegnanarayana
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2022
In applications of fuzzy techniques to several practical problems -- in particular, to the problem of predicting passenger flows in the airports -- the most efficient membership function is a sine function; to be precise, a portion of a sine function between the two zeros. In this paper, we provide a theoretical explanation for this empirical success.
Holguin, Sofia +4 more
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In applications of fuzzy techniques to several practical problems -- in particular, to the problem of predicting passenger flows in the airports -- the most efficient membership function is a sine function; to be precise, a portion of a sine function between the two zeros. In this paper, we provide a theoretical explanation for this empirical success.
Holguin, Sofia +4 more
openaire +1 more source
2005
An efficient method for learning membership functions for fuzzy predicates is presented. Positive and negative examples of one class are given together with a system of classification rules. The learned membership functions can be used for the fuzzy predicates occurring in the given rules to classify further examples.
Bergadano F, CUTELLO, Vincenzo
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An efficient method for learning membership functions for fuzzy predicates is presented. Positive and negative examples of one class are given together with a system of classification rules. The learned membership functions can be used for the fuzzy predicates occurring in the given rules to classify further examples.
Bergadano F, CUTELLO, Vincenzo
openaire +2 more sources