Diagnostic expert system using non-monotonic reasoning

El-Azhary, El-Sayed; Edrees, Amera; Rafea, Ahmed

doi:10.1016/s0957-4174(02)00032-5

Cited by 13 publications

(10 citation statements)

References 5 publications

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“…Most of the research apply the experimental results using a bench mark dataset such as in [39] and [40], others used a real dataset such as in [41], [42] and [43].…”

Section: Experimental Studymentioning

confidence: 99%

Knowledge Discovery based Framework for Enhancing the House of Quality

Idrees¹,

ElSeddawy²,

Zeidan³

2019

IJACSA

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Mining techniques proved to have a successful impact in different fields for many targets; one of these targets is to gain customers' satisfaction through enhancing the products' quality according to the voice of these customers. This research proposes a framework that is based on mining techniques and adopted Saaty method targeting to gain the customers' satisfaction and consequently a competitive advantage in the real estate market. The proposed framework is applied during the design phase of a real estate residential building project as an improvement tool to design the building according to the customers' requirements representing the voice of customers (VOC). The proposed Saaty method adaptation increased the number of the consistent sample which was incorrectly excluded using the traditional Saaty method. Saaty method adaptation has succeeded in enhancing the house of quality (HOQ) by achieving the consistent technical customers' requirements for residential buildings, while customers' segmentation succeeded in focusing on the homogeneous grouping of customers.

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“…Most of the research apply the experimental results using a bench mark dataset such as in [39] and [40], others used a real dataset such as in [41], [42] and [43].…”

Section: Experimental Studymentioning

confidence: 99%

Knowledge Discovery based Framework for Enhancing the House of Quality

Idrees¹,

ElSeddawy²,

Zeidan³

2019

IJACSA

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“…Different researches have focused on Business process (Khedr et al, 2015a;Taie and Idrees, 2015;Azhary et al, 2002;Hazman and Idrees, 2015). BCM framework has been presented in different perspectives (Elliott et al, 2010;ISO 22301:2012ISO 22301: , 2012.…”

Section: Business Continuity Frameworkmentioning

confidence: 99%

A Proposed Mining Based Business Continuity Information System for Educational Institutes

Idrees¹,

Seddawy²,

Moaaz³

2019

Journal of Computer Science

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It has become an essential element for all organizations to be engaged in a more deliberate transform for prevention, protection, preparedness, mitigation and reaction to Business Continuity Management (BCM) and recovery. It is becoming risky for the organization to reply of disaster plan which targets to minimize the causes of the disruption. An organization should take a proactive approach to reduce the likelihood as well as the probability of the disruptions. It involves the development of advanced measures and actions that enable the organization to take action in such a way that the critical and essential functions of business could continue according to the predefined level of change and disruption. Recovering from disruptions is a challenge; it relies on an emergency response plan or uses disaster management strategies that were previously used. BCM is considered mandatory to provide a systematic approach towards crisis response in order to increase organizational resilience capability. It is necessarily required by the organization to protect its reputation, brand, value adding activities and stakeholders' interests. This paper proposes an intelligent framework that applies the business continuity management process on an educational institute which reveals the stakeholder awareness of the business continuity level in their organization. In order to successfully formulate the proposed framework, the research went through a set of phases. The research presented the whole process phases for developing the proposed framework which is based on applying the suitable technique in each phase to guarantee a suitable performance with ensuring the results' validity. The research used 93% confidence, Z = 1.98 with error margin E = 0.03 for sampling selection and the determined association were 94% confidence for 93 rules. Finally, the research discussed the recommendations for successful crisis management process with the support of intelligent techniques.

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“…Among the pioneers of the field in the late 1970's were J. McCarthy (McCarthy, 1980;McCarthy, 1986), D. McDermott and J. Doyle, and R. Reiter (Reiter, 1980). Deriving in different nonmonotonic logics (Sombé, 1990;Suchenek, 2006;Delgrande and Schaub, 2005;Delgrande and Schaub, 2003) reasoning: default reasoning (Reiter, 1980), autoepistemic reasoning, reasoning in the presence of contradictory information, counterfactual reasoning, priority reasoning, and negative reasoning (El-Azhary et al, 2002).…”

Section: Definition Of Non-monotonic Logicmentioning

confidence: 99%

“…This method is based on non-monotonic logic. There are different research proposals in non-monotonic logic reasoning: default reasoning, autoepistemic reasoning, reasoning in the presence of contradictory information and negative reasoning (El-Azhary et al, 2002). On another side, we can consider our model as a resilient system.…”

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confidence: 99%

Autonomous Aerial Vehicle - Based on Non-Monotonic Logic

Medina

Siegel

Doncescu³

2017

Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems

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Abstract:In this article we study the case of an autonomous motor-glider. The aims of the aircraft is to maintain its flight as long as possible, taking advantage of the rising air from the ground, known as thermals, despite of limited energy resources and possible external influences, such as turbulences. The pilot task being to make decisions with incomplete, uncertain or even contradictory information, as well as driving to the desired path or destination. We propose the formulation of a model from the point of view of logical theory, using nonmonotonic logic and more specifically default logic, to tackle these problems. Finally, we present the results of a simulation for further application in a glider(reduced model) which use solar cells for power management in embedded system. INTRODUCTIONThe glider is one of the most relevant aircraft, in terms of the ratio of the distance traveled and the loss of altitude. Making it more efficient to fly than other aircrafts. In this paper, we focus on an autonomous glider(reduced model), a convenient choice(cost) in terms of weight and aerodynamics. The principle of a glider is that it uses the "vertical" wind (thermal and dynamic energy). It is to "climb", which that means to increase in altitude and reach an updraft, while "descent", expresses the rate of descent in a downward burst. "Zero" descent means that updrafts are strong enough to maintain flight, but not enough to allow climbing. As in the nature, there are various species of birds using the same principle. For example: albatross and condor. To perform those flight maneuvers, a pilot must take decisions concerning the flight situation from the cockpit. He has access to different instruments showing altitude, wind speed, inclination of the aircraft, etc. Another constraint is that he also needs to find thermals, respecting the aeronautical and security regulations. Taking these considerations into account, the pilot must follow his desired flight path applying control commands. Increasing or decreasing altitude, turning to the right or left, etc. These rules are applicable to many types of aircraft. We introduce a discrete model of flight rules. This method is based on non-monotonic logic. There are different research proposals in non-monotonic logic reasoning: default reasoning, autoepistemic reasoning, reasoning in the presence of contradictory information and negative reasoning (El-Azhary et al., 2002). On another side, we can consider our model as a resilient system. These systems have the ability to resist and adapt from disturbances. They also are highly adaptive, having the capability to merge information, make decisions, interact with multiple agents and have a memory to facilitate learning (Goerger et al., 2014;Chandra, 2010). The main objective is to present a system based on flight rules capable to choose actions with incomplete information. The case study is presented in section 2. In section 3 classical logic representation is described. Section 4 is dedicated to the theoretical definition of defa...

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Diagnostic expert system using non-monotonic reasoning

Cited by 13 publications

References 5 publications

Knowledge Discovery based Framework for Enhancing the House of Quality

Knowledge Discovery based Framework for Enhancing the House of Quality

A Proposed Mining Based Business Continuity Information System for Educational Institutes

Autonomous Aerial Vehicle - Based on Non-Monotonic Logic

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