Search Results - "Mellouli, Khaled"

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  1. 1

    A decomposition - construction approach for solving the home health care scheduling problem by Chaieb, Marouene, Jemai, Jaber, Mellouli, Khaled

    Published in Health care management science (01-06-2020)
    “…Solving NP-hard Combinatorial Optimization Problems (COP) is a complex process as it deals with difficult cases essentially when using classical modeling…”
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    Journal Article
  2. 2

    Challenges and solutions for the integrated recovery room planning and scheduling problem during COVID-19 pandemic by Chaieb, Marouene, Sassi, Dhekra Ben, Jemai, Jaber, Mellouli, Khaled

    “…This study presents an efficient solution for the integrated recovery room planning and scheduling problem (IRRPSP). The complexity of the IRRPSP is caused by…”
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    Journal Article
  3. 3

    Naive possibilistic classifiers for imprecise or uncertain numerical data by Bounhas, Myriam, Ghasemi Hamed, Mohammad, Prade, Henri, Serrurier, Mathieu, Mellouli, Khaled

    Published in Fuzzy sets and systems (16-03-2014)
    “…In real-world problems, input data may be pervaded with uncertainty. In this paper, we investigate the behavior of naive possibilistic classifiers, as a…”
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    Journal Article
  4. 4

    Possibilistic classifiers for numerical data by Bounhas, Myriam, Mellouli, Khaled, Prade, Henri, Serrurier, Mathieu

    Published in Soft computing (Berlin, Germany) (01-05-2013)
    “…Naive Bayesian Classifiers, which rely on independence hypotheses, together with a normality assumption to estimate densities for numerical data, are known for…”
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    Journal Article
  5. 5

    Naïve possibilistic network classifiers by Haouari, Bakhta, Ben Amor, Nahla, Elouedi, Zied, Mellouli, Khaled

    Published in Fuzzy sets and systems (16-11-2009)
    “…Naïve Bayesian network classifiers have proved their effectiveness to accomplish the classification task, even if they work under the strong assumption of…”
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    Journal Article Conference Proceeding
  6. 6

    Qualitative possibilistic influence diagrams based on qualitative possibilistic utilities by Guezguez, Wided, Ben Amor, Nahla, Mellouli, Khaled

    Published in European journal of operational research (16-05-2009)
    “…This paper proposes a new approach for decision making under uncertainty based on influence diagrams and possibility theory. The so-called qualitative…”
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    Journal Article
  7. 7

    Inference in directed evidential networks based on the transferable belief model by Yaghlane, Boutheina Ben, Mellouli, Khaled

    “…Inference algorithms in directed evidential networks (DEVN) obtain their efficiency by making use of the represented independencies between variables in the…”
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    Journal Article
  8. 8

    Assessing sensor reliability for multisensor data fusion within the transferable belief model by Elouedi, Z., Mellouli, K., Smets, P.

    “…This paper presents a method for assessing the reliability of a sensor in a classification problem based on the transferable belief model. First, we develop a…”
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    Journal Article
  9. 9

    Pruning belief decision tree methods in averaging and conjunctive approaches by Trabelsi, Salsabil, Elouedi, Zied, Mellouli, Khaled

    “…The belief decision tree (BDT) approach is a decision tree in an uncertain environment where the uncertainty is represented through the Transferable Belief…”
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    Journal Article
  10. 10

    Belief decision trees: theoretical foundations by Elouedi, Zied, Mellouli, Khaled, Smets, Philippe

    “…This paper extends the decision tree technique to an uncertain environment where the uncertainty is represented by belief functions as interpreted in the…”
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    Journal Article
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    Hybridization of Genetic and Quantum Algorithm for gene selection and classification of Microarray data by Abderrahim, A., Talbi, E.-G., Khaled, M.

    “…In this work, we hybridize the genetic quantum algorithm with the support vector machines classifier for gene selection and classification of high dimensional…”
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    Conference Proceeding
  13. 13

    The k-coloring fitness landscape by Bouziri, Hend, Mellouli, Khaled, Talbi, El-Ghazali

    Published in Journal of combinatorial optimization (01-04-2011)
    “…This paper deals with the fitness landscape analysis of the k -coloring problem. We study several standard instances extracted from the second DIMACS…”
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    Journal Article
  14. 14
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    Belief function independence: II. The conditional case by Ben Yaghlane, Boutheina, Smets, Philippe, Mellouli, Khaled

    “…In the companion paper [Int. J. Approx. Reasoning 29 (1) (2002) 47], we have emphasized the distinction between non-interactivity and doxastic independence in…”
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    Journal Article
  16. 16

    Belief function independence: I. The marginal case by Ben Yaghlane, Boutheina, Smets, Philippe, Mellouli, Khaled

    “…In this paper, we study the notion of marginal independence between two sets of variables when uncertainty is expressed by belief functions as understood in…”
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    Journal Article
  17. 17

    Intelligent Indoor Evacuation Guidance System Based on Ant Colony Algorithm by Hajjem, Manel, Bouziri, Hend, Talbi, El-Ghazali, Mellouli, Khaled

    “…The most dangerous emergency situations are those threatening a high population in complex and large scale buildings. Traditional evacuation plans seem to be…”
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    Conference Proceeding
  18. 18

    On the propagation of beliefs in networks using the Dempster-Shafer theory of evidence by Mellouli, Khaled

    “…Under the topic of management of uncertainty in expert systems using belief functions, we integrate two existing approaches described in earlier works by Kong…”
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    Dissertation
  19. 19

    The Home Care Scheduling Problem: A modeling and solving issue by Jemai, Jaber, Chaieb, Marouen, Mellouli, Khaled

    “…The Home Care Scheduling Problem (HCSP) consists of designing a set of routes for medical service suppliers to visit a number of patients located at different…”
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    Conference Proceeding
  20. 20

    A four-decomposition strategies for hierarchically modeling combinatorial optimization problems: framework, conditions and relations by Chaieb, Marouene, Jemai, Jaber, Mellouli, Khaled

    “…We address the problem of modeling combinatorial optimization problems (COP). COPs are generally complex problems to solve. So a good modeling step is…”
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    Conference Proceeding Journal Article