Aggregation of inconsistent rules for fuzzy rule base simplification

Gegov

et al. 2019

Self Cite

This paper describes the use of Weighed Aggregated Sum Product ASsessment (WASPAS) method to suggest a direction for a powered wheelchair. The method considers five directions as alternatives. The ultrasonic sensors readings are used as criteria weights. The overall score of the alternatives is converted to vector magnitudes and the directions of the alternatives are considered as vector angles. The suggested direction is represented as a resultant vector formed from the vector manipulation of the vectors magnitudes and angles. The suggested direction tends to move a powered wheelchair away from obstacles. The whole system helps disabled wheelchair users to drive their powered wheelchairs using a decision-making process. This paper presents that process along with a new way of selecting a best compromise direction. Three cases are considered, and a best compromised direction is suggested in each case. The user is able to override suggestions from WASPAS by holding a steering joystick in a set position.

Section: Discussionmentioning

confidence: 99%

Combining Multiple Criteria Decision Making with Vector Manipulation to Decide on the Direction for a Powered Wheelchair

Haddad

Gegov

et al. 2019

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“…It helped powered wheelchair users [5][6][7][8][9][10] to steer safely by swiftly identifying obstacles and then maneuvering around them. Current and emerging research is examining ways to use different AI tools [30][31][32][33][34][35][36] to best effect. Specifically, Fuzzy networks [37,38], Rule Based Systems [33,34], Blackboard Systems [39][40][41], Expert Systems [42,43] and artificial neural networks [44][45].…”

Section: Discussionmentioning

confidence: 99%

Initial Results from Using Preference Ranking Organization Methods for Enrichment of Evaluations to Help Steer a Powered Wheelchair

Haddad

Tewkesbury

et al. 2019

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Research is presented that uses the Preference Ranking Organization METHod for Enrichment of Evaluations II (PROMETHEE II) to determine a direction for a powered wheelchair. This is the first time this sort of decision making has been employed for this sort of use. A wheelchair user proposes a preferred speed and direction, and a decision-maker recommends a safe bearing. The two directions are combined so that the wheelchair safely avoids obstacles. Ultrasonic sensors and joysticks provide the inputs and the final direction is a combination of the preferred bearing and a route that safely avoids obstacles. The systematic decision-making process assists a powered wheelchair user with safely steering their wheelchair. Sensitivity analysis explores the potential directions and an appropriate direction is chosen that gives a robust solution. A user can override suggestions from the PROMETHEE II system by holding their joystick in a fixed place.

“…The importance of KM has been recognized [14]- [16]. Knowledge needs to be applied efficiently [17]- [19] to enable energy to be utilised cost-effectively.…”

Section: Intelligent Systems Conference 2018 6-7 September 2018 | Lonmentioning

confidence: 99%

Making Decisions About Saving Energy in Compressed Air Systems Using Ambient Intelligence and Artificial Intelligence

Robinson

Hassan

et al. 2018

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Compressed air systems are often the most expensive and inefficient industrial systems. For every 10 units of energy, less than 1 unit turns into useful compressed air. Air compressors tend to be kept fully on even if they are not (all) needed. The research proposed in this short paper will combine real time ambient sensing with Artificial Intelligence and Knowledge Management to automatically improve efficiency in energy intensive manufacturing. The research will minimise energy use for air compressors based on real-time manufacturing conditions (and anticipated future requirements). Ambient data will provide detailed information on performance. Artificial Intelligence will make sense of that data and automatically act. Knowledge Management will facilitate the processing of information to advise human operators on actions to reduce energy use and maintain productivity. The aim is to create new intelligent techniques to save energy in compressed air systems.