Papers by Mike Hadjimichael
Rough Sets-Based Study of Voter Preference in 1988 U.S.A. Presidential Election
... 10 ROUGH SETS-BASED STUDY OF VOTER PREFERENCE IN 1988 USA PRESIDENTIAL ELECTION Michael HADJI... more ... 10 ROUGH SETS-BASED STUDY OF VOTER PREFERENCE IN 1988 USA PRESIDENTIAL ELECTION Michael HADJIMICHAEL Anita WASILEWSKA Department of ... rules is the subject of the works of many authors (among which are Michalski [4], Quinlan [7]). Descendants of ...
The complex physical processes controlling ceiling and visibility (for example, the formation, ev... more The complex physical processes controlling ceiling and visibility (for example, the formation, evolution and motion of low cloud, precipitation and fog) and the diverse seasonal and geographic influences that modulate these controls across the continental U.S. and Alaska yield an extremely difficult analysis and forecast problem. This same phenomenology significantly impacts the safety and continuity of aviation operations, making VFR (visual flight rules) flight into impacted conditions associated with IFR (instrument flight rules) the leading cause among weather-related aviation accidents in the U.S.
A Hybrid Fuzzy-Belief Network (HFBN) for Modelling Aviation Safety Risk Factors
Human factors and aerospace safety, 2006
Current analytical risk models of operationally significant events in the aviation domain often l... more Current analytical risk models of operationally significant events in the aviation domain often lack the ability to produce meaningful and relevant management recommendations since multiple causalities of known and sometimes unknown risk factors need to be analyzed in an integrated systematic fashion. This paper presents a new, combined analytical approach for risk modeling of aviation events. The hybrid approach combines features from fuzzy set theory, with its emphasis on expressing vagueness, with the probabilistic formalism of a Bayesian belief network that captures uncertainty aspects. The resulting hybrid fuzzy-belief network (HFBN) provides an enriched analytical framework with the expressive power to capture the complex realities of aviation events. A wake turbulence encounter scenario is used to validate the proposed model.
An inductive learning system
Bulletin of The Polish Academy of Sciences-technical Sciences, 1991
ABSTRACT
Rules reduction for knowledge representation systems
Bulletin of The Polish Academy of Sciences-technical Sciences, 1990
ABSTRACT
The property set model for knowledge representation in inductive learning /
ABSTRACT
An inductive learning system
Bulletin of the Polish Academy of Sciences, Technical Sciences
ABSTRACT
Rules reduction for knowledge representation systems
Bulletin of the Polish Academy of Sciences, Technical Sciences
ABSTRACT
Rough Sets-Based Study of Voter Preference in 1988 U.S.A. Presidential Election
Intelligent Decision Support, 1992
... 10 ROUGH SETS-BASED STUDY OF VOTER PREFERENCE IN 1988 USA PRESIDENTIAL ELECTION Michael HADJI... more ... 10 ROUGH SETS-BASED STUDY OF VOTER PREFERENCE IN 1988 USA PRESIDENTIAL ELECTION Michael HADJIMICHAEL Anita WASILEWSKA Department of ... rules is the subject of the works of many authors (among which are Michalski [4], Quinlan [7]). Descendants of ...
Data mining - a semantic model
2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291)
Data mining techniques applied to decision support in real-life problems require a multi-step pro... more Data mining techniques applied to decision support in real-life problems require a multi-step process. Inputs and outputs of these steps require some standard format to be followed in order to achieve a useful platform for the execution of data mining algorithms. There is a need to develop a uniform model where every operation can be expressed in a standard way,
A Meteorological Fuzzy Expert System Incorporating Subjective User Input
Knowledge and Information Systems, 2002
Abstract. We present a fuzzy expert system, MEDEX, for forecasting gale-force winds in the Medite... more Abstract. We present a fuzzy expert system, MEDEX, for forecasting gale-force winds in the Mediterranean basin. The most successful local wind forecasting in this region is achieved by an expert human forecaster with access to numerical weather prediction products. That ...
Application of Knowledge Discovery from Databases to Remote Weather Assessment
With the rapid acceleration of small Unmanned Aircraft System (sUAS) technologies and the ever-gr... more With the rapid acceleration of small Unmanned Aircraft System (sUAS) technologies and the ever-growing demand for operating sUAS in the National Airspace System (NAS), the Federal Aviation Administration (FAA) is seeking quantitative risk assessment methods to enable sUAS to safely access airspace and avoid highly restrictive operational or technical waivers. The purpose of this research is to provide a quantitative risk assessment model that the FAA can use to streamline the waiver approval process, to support regulatory development, and facilitate safety risk analysis. An accurate risk assessment model, one that accounts for different types of sUAS vehicles and operational missions, will enable the FAA to approve operations faster and with fewer constraints. MITRE has developed the sUAS Airworthiness Assessment Tool (sAAT), which quantifies the risk of fatality to third-party people on the ground from sUAS operations by combining characteristics of the intended vehicle type with t...
Automated Detection of Architecture Patterns in MBSE Models
Recent Trends and Advances in Model Based Systems Engineering, 2022
Application of a Rough Set-Based Inductive Learning System
Fundamenta Informaticae, 1993
We present here an application of Rough Set formalism to Machine Learning. The resulting Inductiv... more We present here an application of Rough Set formalism to Machine Learning. The resulting Inductive Learning algorithm is described, and its application to a set of real data is examined. The data consists of a survey of voter preferences taken during the 1988 presidential election in the U.S.A. Results include an analysis of the predictive accuracy of the generated rules, and an analysis of the semantic content of the rules.
Flight Operations Risk Assessment System (FORAS)
An Algorithm to Calculate the Expected Value of an Ongoing User Session
ABSTRACT
Automating the estimation of various meteorological parameters using satellite data and machine learning techniques
IEEE International Geoscience and Remote Sensing Symposium
Satellite data from various sensors and platforms are being used to develop automated algorithms ... more Satellite data from various sensors and platforms are being used to develop automated algorithms to assist in U.S. Navy operational weather assessment and forecasting. Supervised machine learning techniques are used to discover patterns in the data and develop associated classification and parameter estimation algorithms. These methods are applied to cloud classification in GOES imagery, tropical cyclone intensity estimation using SSM/I data, and cloud ceiling height estimation at remote locations using appropriate geostationary and polar orbiting satellite data in conjunction with numerical weather prediction output and climatology. All developed algorithms rely on training data sets that consist of records of attributes (computed from the appropriate data source) and the associated ground truth.
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference
Knowledge representation schemes are generally crisp. They allow no expression of the natural con... more Knowledge representation schemes are generally crisp. They allow no expression of the natural concept of the degree to which an object is described by some property (attribute-value pair). We present here a method for representing objects using a fuzzy set of characteristics. The Furry Property Sei (F P S) model discussed here uses a fuzzy set representation to describe the characteristics of each object in the knowledge system. Thus we can associate a degree between each object and each of its properties. This is an enhancement of the Property Set model, in which each object is represented by a collection of properties, with no expression of degree. Furthermore, we demonstrate that inductive learning may be performed, using generalized definitions of the rough set upper and lower approximations. The learned concept is represented by its approximations, which in conjunction with a similarity function can be used to rank objects according to their similarity to the concept.
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Papers by Mike Hadjimichael