Results 51 to 60 of about 327,209 (295)

Transportation strategy decision-making process using interval-valued complex fuzzy soft information

AIMS Mathematics, 2023
Transportation is among the more vital economic activities for a business and our daily life actions. At present, transport is one of the key branches playing a crucial role in the development of the economy. Transportation decision-making looks for ways
Naeem Jan , Jeonghwan Gwak, Juhee Choi, Sung Woo Lee, Chul Su Kim   +4 more
doaj   +1 more source

Constructing Fuzzy for Socio Economic Urban Growth Dynamic In Surabaya Based on GIS [PDF]

, 2011
Urban modeling is an important tool for efficient policy designing in a big city. Surabaya, a big city are now recognized as complex systems through which nonlinear and dynamic processes occur.
Adi, Firmansyah, Dadet, Pramadihano, Ira, Prasetyaningrum, Wahjoe, Tjatur Sesulihatien   +3 more
core  

Parameterized Soft Complex Fuzzy Sets

, 2015
In this paper, we presents a new concept of parameterized soft complex fuzzy set (pscf-set) which is generalized from the innovative concept of a complex fuzzy set by adding phase term to the definition of fuzzy set. Various operators with examples of pscf-set provided in this paper. We then define a pscf-set aggregation operator.
P. Thirunavukarasu, R. Suresh
openaire   +1 more source

Clinical Practice Guideline for Evaluation and Management of Peripheral Nervous System Manifestations in Sjögren's Disease

Arthritis Care &Research, Accepted Article.
Objectives Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies. To help patients and providers in the decision‐making process, we developed
Anahita Deboo, Robert Fox, Katherine M. Hammitt, Julie Frantsve‐Hawley, Matthew C. Baker, Stamatina Danielides, Eduardo De Sousa, Brent P. Goodman, Jennifer K. King, Steven Mandel, Ghaith Noaiseh, Pantelis P. Pavlakis, George Sarka, R. Hal Scofield, Arun Varadhachary, Daniel J. Wallace, Matt Makara, Nancy Carteron, Steven Carsons, In collaboration with the Consensus Expert Panel (CEP) members   +19 more
wiley   +1 more source

Evidential Communities for Complex Networks [PDF]

, 2014
Community detection is of great importance for understand-ing graph structure in social networks. The communities in real-world networks are often overlapped, i.e. some nodes may be a member of multiple clusters.
G. Palla, L.D.F. Costa, M. Girvan, M.H. Masson, P. Smets, S. Fortunato, S. Zhang, T. Denœux, T. Havens, X. Wang   +9 more
core   +4 more sources

Complex fuzzy sets: towards new foundations

Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063), 2002
Uncertainty of complex-valued physical quantities z=x+y can be described by complex fuzzy sets. Such sets can be described by membership functions /spl mu/(x, y) which map the universe of discourse (complex plane) into the interval [0, 1]. The problem with this description is that it is difficult to directly translate into words from natural language ...
Nguyen, Hung T., Kandel, Abraham, Kreinovich, Vladik   +2 more
openaire   +2 more sources

Current Tracking Adaptive Control of Brushless DC Motors

International Journal of Adaptive Control and Signal Processing, EarlyView.
In this paper, the current tracking for Brushless Direct Current motors is approached considering uncertainty in the parameters of the motor's model. An adaptive control scheme to compensate electrical parameters uncertainty is proposed without requiring any knowledge of the mechanical parameters.
Fernanda Ramos‐García, Axel Coronado‐Andrade, Gerardo Espinosa‐Pérez, Luis Alvarez‐Icaza   +3 more
wiley   +1 more source

(Quantum) Space-Time as a Statistical Geometry of Fuzzy Lumps and the Connection with Random Metric Spaces [PDF]

, 2000
We develop a kind of pregeometry consisting of a web of overlapping fuzzy lumps which interact with each other. The individual lumps are understood as certain closely entangled subgraphs (cliques) in a dynamically evolving network which, in a certain ...
Alexandroff P, Bandemer H B, Borissov R, Bronstein I N, Butterfield J, Butterfield J, Demant B, Frechet M, Hausdorff F, Isham C J, Isham C J, Isham C J, Isham C J, Isham C J, Isham C J, Isham C J, Lowen R, Markopoulou F, Markopoulou F, Menger K, Menger K, Menger K, Misner C W, Nowotny T, Nowotny T, Nowotny T, Nowotny T, Nowotny Th, Poincaré H, Requardt M, Requardt M, Requardt M, Requardt M, Requardt M, Requardt M, Rovelli C, Rovelli C, Roy S, Schweizer B, Schweizer B, Sherwood H, Smolin L, Smolin L, Sorkin R, Sorkin R, Spacek A, Stachel J, Stevens R R, Toffoli T, Wang Z   +49 more
core   +2 more sources

Rheocasting versus Die Casting: An Insight into the Low‐Cycle Fatigue Behavior of AlSi7Mg0.6

Advanced Engineering Materials, EarlyView.
The study compares rheocast lightweight components with high‐pressure die cast materials regarding microstructure and fatigue behavior. Rheocast process offers higher efficiency due to lower casting temperatures. Despite some microstructural differences, both processes show similar strengths (yield strength 125 MPa, tensile strength 240 MPa).
Julia Richter, Thomas Wegener, Andreas Schilling, Martin Fehlbier, Thomas Niendorf   +4 more
wiley   +1 more source

Peak Alignment of Gas Chromatography-Mass Spectrometry Data with Deep Learning

, 2019
We present ChromAlignNet, a deep learning model for alignment of peaks in Gas Chromatography-Mass Spectrometry (GC-MS) data. In GC-MS data, a compound's retention time (RT) may not stay fixed across multiple chromatograms. To use GC-MS data for biomarker
Li, Mike, Wang, X. Rosalind
core   +1 more source