Search Results - Data-driven membership functions

Data-Driven Fuzzy Transform by Patane, Giuseppe

“… This article defines and analyzes the properties of the data-driven F-transform, with a focus on the construction of the class of data-driven membership functions, which are multiscale, local…”
Get full text

Adaptive Membership Functions and F-Transform by Cammarasana, Simone, Patane, Giuseppe

“…The definition of the fuzzy-transform (F-transform) has been limited mainly to 1-D signals and 2-D data due to the difficulty of defining membership functions…”
Get full text

Out-of-Sample Extension of the Fuzzy Transform by Patane, Giuseppe

“…This paper addresses the definition and computation of the out-of-sample membership functions and the resulting outof-sample FT, which extend their discrete counterparts to the continuous case…”
Get full text

Continuous Fuzzy Transform as Integral Operator by Patane, Giuseppe

“… Through the relation between membership functions and integral kernels, we show that the main properties (e.g…”
Get full text

Towards More Specific Estimation of Membership Functions for Data-Driven Fuzzy Inference Systems by Fuchs, Caro, Wilbik, Anna, Kaymak, Uzay

“… In this paper, we investigate one step in the data-driven identification of these models, namely the antecedent estimation when fuzzy clustering is used for estimating antecedent memberships and fuzzy rules…”
Get full text

Data driven fuzzy membership function generation for increased understandability by Wijayasekara, Dumidu, Manic, Milos

“… The major advantage of FLS is the use of human interpretable linguistic terms and rules. In order to capture the uncertainty inherent to linguistic terms, Fuzzy Membership Functions (MF) are used…”
Get full text

Data driven supplier selection as a circular economy enabler: A Taguchi capability index for manufactured products with asymmetric tolerances by Wang, Chin-Hsin, Ali, Mohd Helmi, Chen, Kuen-Suan, Negash, Yeneneh Tamirat, Tseng, Ming-Lang, Tan, Raymond R.

“…•A practical challenge is that many quality characteristics possess asymmetric tolerances.•A data driven supplier selection model uses a Taguchi capability index with asymmetric tolerances…”
Get full text

A Novel Data-Driven Approach to Autonomous Fuzzy Clustering by Gu, Xiaowei, Ni, Qiang, Tang, Guolin

“…In this article, a new data-driven autonomous fuzzy clustering (AFC) algorithm is proposed for static data clustering…”
Get full text

A fuzzy data-driven reliability analysis for risk assessment and decision making using Temporal Fault Trees by Kabir, Sohag

“… In such fuzzy fault tree analyses, different people represented failure data using different membership functions for the fuzzy set, and different parameters were set differently in the expert…”
Get full text

Knowledge-Driven and Data-Driven Fuzzy Models for Predictive Mineral Potential Mapping by Porwal, Alok, Carranza, E. J. M., Hale, M.

“…: (1) a knowledge-driven fuzzy model that uses a logistic membership function for deriving fuzzy membership values of input evidential maps and (2…”
Get full text

An Integrated Spatial Fuzzy‐Based Site Suitability Assessment Framework for Agricultural BMP Placement by Mirnasl, Nayyer, Akbari, Aidin, Philpot, Simone, Hipel, Keith W., Deadman, Peter

“…‐driven fuzzy membership functions and overlay…”
Get full text

Data‐driven identification of subtypes of executive function across typical development, attention deficit hyperactivity disorder, and autism spectrum disorders by Vaidya, Chandan J., You, Xiaozhen, Mostofsky, Stewart, Pereira, Francisco, Berl, Madison M., Kenworthy, Lauren

“…Background Impairment of executive function (EF), the goal‐directed regulation of thoughts, actions, and emotions, drives negative outcomes and is common across…”
Get full text

neuro-fuzzy-based modelling approach for sediment transport computation by Wieprecht, Silke, Tolossa, Habtamu G, Yang, Chih Ted

“…The application of a data-driven adaptive neuro-fuzzy modelling technique for predicting bed load and total bed-material load for the River Rhine is summarized…”
Get full text

FAME-ADL: a data-driven fuzzy approach for monitoring the ADLs of elderly people using Kinect depth maps by Pazhoumand-Dar, Hossein

“… A novel data-driven technique is presented to define fuzzy sets over ADL attributes, and membership functions are learned based on the attribute data distribution…”
Get full text

A novel and fast MIMO fuzzy inference system based on a class of fuzzy clustering algorithms with interpretability and complexity analysis by Askari, S.

“…) employs Membership Functions (MFs) with adjustable parameters in its IF part to fuzzify the input data…”
Get full text

Defining Fuzzy Membership Function for Fuzzy Data Warehouses by Asanka, Dinesh, Perera, Amal Shehan

“… In data warehouse, different types of fuzzy membership functions can be introduced. arbitrary, data driven, linguistic, derived, survey-based membership functions…”
Get full text

SMGO: A set membership approach to data-driven global optimization by Sabug, Lorenzo, Ruiz, Fredy, Fagiano, Lorenzo

“…Many science and engineering applications feature non-convex optimization problems where the objective function cannot be handled analytically, i.e. it is a black box…”
Get full text

Limited-complexity controller tuning: A set membership data-driven approach by Valderrama, Freddy, Ruiz, Fredy

“…Data-driven tuning is an alternative to model-based controller design where controllers are directly identified from data, avoiding a plant identification step…”
Get full text

Measuring the Directional or Non-directional Distance Between Type-1 and Type-2 Fuzzy Sets With Complex Membership Functions by McCulloch, Josie, Wagner, Christian

“…Fuzzy sets (FSs) may have complex, non-normal, or non-convex membership functions that occur, for example, in the output of a fuzzy logic system or when automatically generating FSs from data…”
Get full text

Data-Driven Controller Tuning for MIMO Systems: A Set-Membership Approach by Cordoba-Pacheco, Andres, Ruiz, Fredy

“… This letter presents an innovative extension of the Set Membership Data-Driven approach from Single-Input Single-Output to Multi-Input Multi-Output systems…”
Get full text