A new systematic and flexible method for developing hierarchical decision-making models

U Beldek, MK Leblebicioğlu - Turkish Journal of Electrical …, 2015 - journals.tubitak.gov.tr
The common practice in multilevel decision-making (DM) systems is to achieve the final
decision by going through a finite number of DM levels. In this study, a new multilevel DM …

Iteratively Increasing Complexity during Optimization for Formally Veri Able Fuzzy Systems

TJ Arnett - 2019 - search.proquest.com
Abstract Fuzzy Inference Systems (FIS) have been developed to great effect for many
decision-making and control problems. Their robustness, transparency, and approximation …

Learning for hierarchical fuzzy systems based on the gradient-descent method

D Wang, XJ Zeng, JA Keane - 2006 IEEE International …, 2006 - ieeexplore.ieee.org
Standard fuzzy systems suffer the" curse of dimensionality" which has become the
bottleneck when applying fuzzy systems to solve complex and high dimensional application …

A dynamic hierarchical fuzzy neural network for a general continuous function

WY Wang, IH Li, SC Li, MS Tsai… - 2008 IEEE International …, 2008 - ieeexplore.ieee.org
A serious problem limiting the applicability of the fuzzy neural networks is the “curse of
dimensionality”, especially for general continuous functions. A way to deal with this problem …

[PDF][PDF] Advanced modelling of retail pricing by fuzzy networks

A Gegov, E Gegov, P Treleaven… - 9th WSEAS International …, 2008 - researchgate.net
This paper presents the application of three fuzzy network models to the procurement phase
of the retail pricing process. Each model uses a specific type of node composition method …

Study on method of route choice problem based on user preference

WK Choi, SJ Kim, TG Kang, HT Jeon - … KES 2007, XVII Italian Workshop on …, 2007 - Springer
The progress of industrialization and civilization accelerates the complexity of traffic system.
To solve the problem of increase of traffic volume and complexity of traffic system, the …

Discussion of approximation properties of minimum inference fuzzy system

G Chen - Proceedings of the 29th Chinese Control Conference, 2010 - ieeexplore.ieee.org
In this paper, based on a minimum inference fuzzy system defuzzified by the center of
average defuzzifier and linear expression of the fuzzy system, problems of approximation …

Fuzzy logic based adjustment control of a cable-driven auto-leveling parallel robot

Y Yu, J Yi, C Li, D Zhao, J Zhang - 2009 IEEE/RSJ International …, 2009 - ieeexplore.ieee.org
To solve the level-adjusting and force-tuning problems of high accurate and costly payloads
when loading and unloading, a cable-driven auto-leveling parallel robot is developed. A …

Error-compensated marginal linearization method for modeling a fuzzy system

DG Wang, CLP Chen, WY Song… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
In this paper, a novel Error-compensated MArginal LINEarization (EMALINE) fuzzy modeling
method is proposed. This method models a group of data information to a piecewise linear …

A hierarchical fuzzy decision maker for the weapon target assignment

MA Şahin, K LEBLEBİCİOĞLU - IFAC Proceedings Volumes, 2011 - Elsevier
Abstract The Weapon Target Assignment problem is the problem of assigning weapons to
threats with the objective of minimizing the expected survival value of threats. In this work, a …