High Institute of Management

Tunis, Tunisia

High Institute of Management

Tunis, Tunisia

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Josang A.,University of Oslo | Elouedi Z.,High Institute of Management
Fusion 2011 - 14th International Conference on Information Fusion | Year: 2011

Material implication is traditionally denoted as (x→y), where x represents the antecedent and y the consequent of the logical relationship between the propositions x and y. Material implication is a truth functional connective, meaning that it is defined by a truth table. While truth functional connectives normally have a relatively clear interpretation in normal language, this is not the case for material implication. It could for example be expressed as: "if x is true, then y is true". However, this does not say anything about the case when x is false, which is problematic for the interpretation of the corresponding entries in the truth table. In this paper we introduce a probabilistic view of material implication and show that it is not closed under binary truth values, and that it in fact produces uncertainty in the form of a vacuous opinion. When seen in this light, it becomes clear that the traditional definition of material implication is based on the over-simplistic and misleading interpretation of complete uncertainty as binary logic TRUE. We redefine material implication with subjective logic to preserve the uncertainty that it unavoidably produces in specific cases. We then compare the new definition of material implication with conditional deduction, and show that they reflect the same mathematical equation rearranged in different forms. © 2011 IEEE.


Ghlala R.,High Institute of Management | Ghlala R.,Higher Institute of Technological Studies of Rades ISETR | Aouina Z.K.,High Institute of Management | Said L.B.,High Institute of Management | Said L.B.,High Institute of Management ISG
Communications in Computer and Information Science | Year: 2016

Nowadays, one of the companies challenges is to benefit from their Business Intelligence (BI) projects and not to see huge investments ruined. To address problems related to the modelling of these projects and the management of their life-cycle, Enterprise Architecture (EA) Frameworks are considered as an attractive alternative to strengthen the Business-IT alignment. Business Process Model and Notation (BPMN) represents a pillar of these Frameworks to minimize the gap between the expectations of managers and delivered technical solutions. The importance of decision-making in business process has led the Object Management Group (OMG) to announce its new standard: Decision Model and Notation (DMN). In this paper, we propose the BPMN Decision Footprint (BPMNDF), which is a coupling of a BPMN with a novel DMN version. This enhancement has an additional component as a repository of all decisions along the process, used in order to ensure the harmony of decision-making. © Springer International Publishing Switzerland 2016.


Bouyahia Z.,SOIE Laboratory | Bellalouna M.,SOIE Laboratory | Ghedira K.,High Institute of Management
Computers and Industrial Engineering | Year: 2013

Abstract In a previous work (Bouyahia et al., 2010), we introduced and studied the probabilistic generalization of the classical total weighted completion time problem. We defined two a priori strategies devoted to the incorporated problem on parallel identical machines (UA and UB). The main drawback of the proposed a priori strategies is that the machine loads are not balanced after deleting the absent jobs from an a priori schedule. In this paper, we try to overcome this limitation by proposing an a priori strategy denoted as Uk which takes into account the load balance. First, we present the algorithm of the load balancing strategy and we explicit the objective function. Then, we study its complexity and its performance compared to the other strategies. Special care is also devoted to assess experimentally the performance of Uk. © 2012 Elsevier Ltd. All rights reserved.


Bouyahia Z.,LI3 laboratory | Bellalouna M.,LI3 laboratory | Jaillet P.,Massachusetts Institute of Technology | Ghedira K.,High Institute of Management
Computers and Industrial Engineering | Year: 2010

We address the probabilistic generalization of weighted flow time on parallel machines. We present some results for situations which ask for "long-term robust" schedules of n jobs (tasks) on m parallel machines (processors): on any given day, only a random subset of jobs needs to be processed. The goal is to design robust a priori schedules (before we know which jobs need to be processed) which, on a long-term horizon, are optimal (or near optimal) with respect to total weighted flow time. The originality of this work is that probabilities are explicitly associated with data such that further classical properties of a task (processing time and weight) we consider a probability of presence. After motivating this investigation we analyze the computational complexity, analytical properties, and solution procedures for these problems. Special care is also devoted to assess experimentally the performance of a priori strategies. © 2009 Elsevier Ltd.


Aissi S.,High Institute of Management | Gouider M.S.,High Institute of Management | Sboui T.,ESSPCR and CONTOS | Said L.B.,High Institute of Management
2016 IEEE/ACIS 17th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2016 | Year: 2016

This paper presents a recommendation approach that proposes personalized queries to SOLAP users in order to enhance the exploitation of spatial data warehouses. The approach allows implicit extraction of the preferences and needs of SOLAP users using a spatial-semantic similarity measure between queries of different users. The proposal is defined theoretically and validated by experiments. © 2016 IEEE.


Ayari E.,High Institute of Management | Hadouaj S.,High Institute of Management | Ghedira K.,High Institute of Management
Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI | Year: 2010

One of the current challenges in the development of robot control systems is making them capable of intelligent and suitable responses to changing environments. But, the control of the robot's behavior in uncertain and dynamic environments is very challenging when the problem is how to guarantee the robot's safety by minimizing the interaction with other actors. The most popular methods are based on reactive local navigation schemes that tightly couple the robot actions to the sensor information. These approaches are well based on distance between the robot and the obstacles. This information does not allow the robot to make an intelligent decision while it navigates in unknown environments. Whereas, the robot needs to anticipate environment evolution in order to minimize interaction and avoid conflict with other agents. In this paper, we present a multi-agent simulation model of an autonomous robot in dynamic and uncertain environments. We focus on cases of interactions between agents sharing the same space. The robot should minimize the conflict with other agents when it navigates headed for its goal. Our model is based on fuzzy logic technique in order to deal with the uncertainty of perception. © 2010 IEEE.


Ayari E.,High Institute of Management | Hadouaj S.,High Institute of Management | Ghedira K.,High Institute of Management
Proceedings - 5th International Multi-Conference on Computing in the Global Information Technology, ICCGI 2010 | Year: 2010

Nowadays, mobile robotics is becoming one of the most open research areas due to the fact that it includes many quite complex advanced mechanisms that are difficult to get a thorough mastery of. In fact, the control task becomes much more complex. The problem is how to guarantee safety for the robot while moving toward a known goal. For this reason, simulation plays a very important role in robotics. It is believed to be the most suitable procedure that may offer a fast prototyping of mobile robots, by considering all options even before fixing the technological devices. Multi-agent simulation models are widely used to solve problems in mobile robotic. In fact, there are similarities between the agent and the robot. However, the most popular methods are based on reactive local navigation schemes that tightly couple the robot actions to the sensor information. But the robot needs not only to avoid collision at real time, but also to anticipate environment evolution in order to take suitable decisions. In this paper, we present a multi-agent simulation model of an autonomous robot that takes into account the reactivity and the anticipation of blocking situations in dynamic and uncertain environments by using only ultrasonic sensors. © 2010 IEEE.


Nakhla Z.,High Institute of Management | Nouira K.,High Institute of Management
Proceedings of 2014 Science and Information Conference, SAI 2014 | Year: 2014

Ontology Based DataBase (OBDB) is a database model that allows both ontologies, which is a formal representation of terms related to specific domain, and their instances to be stored and queried in a single database. In this paper, we propose the construction of OBDB for the development of medical system. The idea is to automatically construct OBDB using rules and used it in the construct of medical system. To demonstrate the relevance of the proposed approach, we compare with current approaches of OBDB. © 2014 The Science and Information (SAI) Organization.


Achour I.,High Institute of Management | Nouira K.,High Institute of Management | Trabelsi A.,High Institute of Management
International Journal of Bio-Science and Bio-Technology | Year: 2012

Monitoring systems in intensive care units (ICU) generate a high rate of false alarms 80% [8, 14, 15, 16]. This has the effect of desensitizing the medical staff and extending the response time to these alarms. In this work we present a new method to reduce false alarms in intensive care units that is based on packet wavelet decomposition and alarms classification by SVM.


Karaa W.B.A.,High Institute of Management | Mhimdi N.,High Institute of Management
International Journal of Metadata, Semantics and Ontologies | Year: 2011

Employers collect a large number of resumes from job portals or from their company's own website. These documents are used for an automated selection of candidates satisfying the requirements and therefore reducing recruitment costs. Various approaches for process documents have already been developed for recruitment. In this paper, we present an approach based on semantic annotation of resumes for an e-recruitment process. The most important task consists of modelling the semantic content of these documents using ontology. The ontology is built taking into account the most significant components of resumes inspired from the structure of EUROPASS CV. This ontology is thereafter used to annotate automatically the resumes. Copyright © 2011 Inderscience Enterprises Ltd.

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