Issue 3 • Aug 2000
Cited by: Papers (6)
Models which could be useful for estimating air pollutant concentrations as a function of the emission distribution and the attendant meteorological conditions have been investigated. The integration of this model into an emission control scheme for the control of the pollution sources may represent a very useful approach to air quality management and assessment. A novel black box approach for air... View full abstract»
Cited by: Papers (115)
This paper presents a connection admission control (CAC) method that uses a type-2 fuzzy logic system (FLS). Type-2 FLSs can handle linguistic uncertainties. The linguistic knowledge about CAC is obtained from 30 computer network experts. A methodology for representing the linguistic knowledge using type-2 membership functions and processing surveys using type-2 FLS is proposed. The type-2 FLS pro... View full abstract»
Cited by: Papers (43)
Wavelet transforms and fuzzy techniques are used to monitor tool breakage and wear conditions in real time according to the measured spindle and feed motor currents, respectively. First, continuous and discrete wavelet transforms are used to decompose the spindle and feed ac servo motor current signals to extract signal features so as to detect the breakage of drills successfully. Next, the models... View full abstract»
On using fuzzy logic to integrate learning mechanisms in an electro-hydraulic system. II. Actuator's position controlPublication Year: 2000, Page(s):317 - 328
Cited by: Papers (3)
For pt.I see ibid., p.305-16 (2000). In Part I of this paper, fuzzy modeling showed its potential to describe the behavior of the electro-hydraulic system. To verify the possibilities of its application for the system's learning control, two inverse-model compensation schemes were implemented. This paper describes and discusses the experimental results obtained, showing the feasibility and effecti... View full abstract»
Cited by: Papers (3) | Patents (2)
Traditional World Wide Web search engines, such as AltaVista.com, index and recommend individual Web pages to assist users in locating relevant documents. As the Web grows, however, the number of matching pages increases at a tremendous rate. Users are often overwhelmed by the large answer set recommended by the search engines. Also, if a matching document is a hypertext, the document structure is... View full abstract»
Using discretization and Bayesian inference network learning for automatic filtering profile generationPublication Year: 2000, Page(s):340 - 351
Cited by: Papers (1)
We develop a new approach for text document filtering based on automatic construction of filtering profiles using Bayesian inference network learning. Bayesian inference networks, based on probability theory, offer a suitable framework to harness the uncertainty found in the nature of the filtering problem. In order to learn the networks effectively, we explore three different techniques for discr... View full abstract»
Cited by: Papers (4)
Conflict decision is a continuous decision process in a dynamic conflict environment. The evaluation of the dynamic conflict situation is the basis of making proper decisions at different stages of the conflict process. Traditional evaluation approaches are static and do not consider enough impact factors in real conflict environment, so cannot reflect the real conflict situation and its evolution... View full abstract»
Cited by: Papers (91) | Patents (1)
The notion of Pareto-optimality is one of the major approaches to multiobjective programming. While it is desirable to find more Pareto-optimal solutions, it is also desirable to find the ones scattered uniformly over the Pareto frontier in order to provide a variety of compromise solutions to the decision maker. We design a genetic algorithm for this purpose. We compose multiple fitness functions... View full abstract»
Automated segmentation of human brain MR images aided by fuzzy information granulation and fuzzy inferencePublication Year: 2000, Page(s):381 - 395
Cited by: Papers (51)
This paper proposes an automated procedure for segmenting an magnetic resonance (MR) image of a human brain based on fuzzy logic. An MR volumetric image composed of many slice images consists of several parts: gray matter, white matter, cerebrospinal fluid, and others. Generally, the histogram shapes of MR volumetric images are different from person to person. Fuzzy information granulation of the ... View full abstract»
On using fuzzy logic to integrate learning mechanisms in an electro-hydraulic system. I. Actuator's fuzzy modelingPublication Year: 2000, Page(s):305 - 316
Cited by: Papers (12)
Drive systems are usually modeled using a mathematical characterization of their physical phenomena. However, the difficulty in establishing a relevant model representation, in particular for electro-hydraulic systems, makes important the search for other modeling mechanisms that allow the combination of previously compiled system's knowledge with acquired experimental information. This paper, div... View full abstract»
Aims & Scope
This Transactions ceased production in 2012. The current retitled publication is IEEE Transactions on Human-Machine Systems.
Overview, tutorial and application papers concerning all areas of interest to the SMC Society: systems engineering, human factors and human machine systems, and cybernetics and computational intelligence.
Authors should submit human-machine systems papers to the IEEE Transactions on Human-Machine Systems.
Authors should submit systems engineering papers to the IEEE Transactions on Systems, Man and Cybernetics: Systems.
Authors should submit cybernetics papers to the IEEE Transactions on Cybernetics.
Authors should submit social system papers to the IEEE Transactions on Computational Social Systems.
Meet Our Editors
Dr. Vladimir Marik
(until 31 December 2012)