Towards a route planner capable of dealing with complex bipolar preferences

Mokhtari, Amine; Pivert, Olivier; Hadjali, Allel; Bosc, Patrick

doi:10.1109/itsc.2009.5309863

Cited by 5 publications

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Various approaches are possible for personalized route planning: preference function approaches [6,11], knowledge-based or artificial intelligence approaches [12,13], fuzzy-set approaches [14], and so on. Most of these works, however, still focus on the functional aspect of route planning, although their scope is larger than that of algorithmic approaches.…”

Section: Introductionmentioning

confidence: 99%

The Most Preferred Route of the Car Navigation System: A Systems Engineering Approach

Choe

2013

AMR

View full text Add to dashboard Cite

The typical route planning of on-board car navigation systems (CNS) attempts to find the shortest route without considering users preferences and driving contexts. However it is more effective for a user to find the most preferred route rather than the shortest one. We propose a systems engineering approach for finding the most preferred route by considering and tracking the requirements of CNS route planning from the business point of view. Our approach consists of 4 baselines: customer baseline, system baseline component baseline, and design baseline. The architecture of a route planning engine is suggested according to the baselines.

show abstract

Section: Introductionmentioning

confidence: 99%

The Most Preferred Route of the Car Navigation System: A Systems Engineering Approach

Choe

2013

AMR

View full text Add to dashboard Cite

show abstract

Expressing and processing complex preferences in route planning queries: Towards a fuzzy-set-based approach

Hadjali

Mokhtari

Pivert

2012

Fuzzy Sets and Systems

View full text Add to dashboard Cite

A Fuzzy-Rule-Based Model for Handling Contextual Preference Queries

Hadjali¹,

Mokhtari²,

Pivert³

2012

IJCIS

Self Cite

View full text Add to dashboard Cite

Users' preferences have traditionally been exploited in query personalization to better serve their information needs. Most of the time, user preferences depend on context, that is, they may have different values depending on the situation of the user. In this paper, we propose a fuzzy-rule-based model for the representation of contextual preferences in a database querying framework. We discuss the augmentation of a query with preferences deduced from information regarding the current context of the user. To this end, we make use of an appropriate inference pattern, called generalized modus ponens, able to deal with data and knowledge when they are described in a fuzzy way.

show abstract

Towards a route planner capable of dealing with complex bipolar preferences

Cited by 5 publications

References 15 publications

The Most Preferred Route of the Car Navigation System: A Systems Engineering Approach

The Most Preferred Route of the Car Navigation System: A Systems Engineering Approach

Expressing and processing complex preferences in route planning queries: Towards a fuzzy-set-based approach

A Fuzzy-Rule-Based Model for Handling Contextual Preference Queries

Contact Info

Product

Resources

About