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  • 1.
    Abril, Daniel
    et al.
    IIIA, Institut d'Investigació en Intel·ligència Artificial, CSIC, Consejo Superior de Investigaciones Científicas, Campus UAB s/n, Bellaterra, Spain / UAB, Universitat Autònoma de Barcelona, Campus UAB s/n, Bellaterra, Spain.
    Torra, Vicenç
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. IIIA, Institut d'Investigació en Intel·ligència Artificial, CSIC, Consejo Superior de Investigaciones Científicas, Campus UAB s/n, Bellaterra, Spain.
    Navarro-Arribas, Guillermo
    DEIC, Dep. Enginyeria de la Informació i de les Comunicacions, UAB, Universitat Autònoma de Barcelona, Campus UAB s/n, Bellaterra, Spain.
    Supervised Learning Using a Symmetric Bilinear Form for Record Linkage2015In: Information Fusion, ISSN 1566-2535, E-ISSN 1872-6305, Vol. 26, p. 144-153Article in journal (Refereed)
    Abstract [en]

    Record Linkage is used to link records of two different files corresponding to the same individuals. These algorithms are used for database integration. In data privacy, these algorithms are used to evaluate the disclosure risk of a protected data set by linking records that belong to the same individual. The degree of success when linking the original (unprotected data) with the protected data gives an estimation of the disclosure risk.

    In this paper we propose a new parameterized aggregation operator and a supervised learning method for disclosure risk assessment. The parameterized operator is a symmetric bilinear form and the supervised learning method is formalized as an optimization problem. The target of the optimization problem is to find the values of the aggregation parameters that maximize the number of re-identification (or correct links). We evaluate and compare our proposal with other non-parametrized variations of record linkage, such as those using the Mahalanobis distance and the Euclidean distance (one of the most used approaches for this purpose). Additionally, we also compare it with other previously presented parameterized aggregation operators for record linkage such as the weighted mean and the Choquet integral. From these comparisons we show how the proposed aggregation operator is able to overcome or at least achieve similar results than the other parameterized operators. We also study which are the necessary optimization problem conditions to consider the described aggregation functions as metric functions.

  • 2.
    Alcantud, Jose Carlos R.
    et al.
    BORDA Research Unit and Multidisciplinary Institute of Enterprise (IME), University of Salamanca, Salamanca, Spain.
    Torra, Vicenç
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Decomposition theorems and extension principles for hesitant fuzzy sets2018In: Information Fusion, ISSN 1566-2535, E-ISSN 1872-6305, Vol. 41, p. 48-56Article in journal (Refereed)
    Abstract [en]

    We prove a decomposition theorem for hesitant fuzzy sets, which states that every typical hesitant fuzzy set on a set can be represented by a well-structured family of fuzzy sets on that set. This decomposition is expressed by the novel concept of hesitant fuzzy set associated with a family of hesitant fuzzy sets, in terms of newly defined families of their cuts. Our result supposes the first representation theorem of hesitant fuzzy sets in the literature. Other related representation results are proven. We also define two novel extension principles that extend crisp functions to functions that map hesitant fuzzy sets into hesitant fuzzy sets.

  • 3.
    Bouguelia, Mohamed-Rafik
    et al.
    Center for Applied Intelligent Systems Research, Halmstad University, Sweden.
    Karlsson, Alexander
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Pashami, Sepideh
    Center for Applied Intelligent Systems Research, Halmstad University, Sweden.
    Nowaczyk, Sławomir
    Center for Applied Intelligent Systems Research, Halmstad University, Sweden.
    Holst, Anders
    Swedish Institute of Computer Science, Sweden.
    Mode tracking using multiple data streams2018In: Information Fusion, ISSN 1566-2535, E-ISSN 1872-6305, Vol. 43, p. 33-46Article in journal (Refereed)
  • 4.
    Erlandsson, Tina
    et al.
    Sensor Fusion and Tactical Control, Aeronautics, Saab AB, Sweden.
    Niklasson, Lars
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Automatic evaluation of air mission routes with respect to combat survival2014In: Information Fusion, ISSN 1566-2535, E-ISSN 1872-6305, Vol. 20, p. 88-98Article in journal (Refereed)
    Abstract [en]

    Aircraft flying in hostile environments are exposed to ground-based air defense systems. It is not always possible to both accomplish the mission and fly outside the range of the enemy's weapon systems, especially if the positions of the enemy's systems are not perfectly known. Automatic evaluation of mission routes from a combat survival perspective could therefore aid the pilots to plan their missions. When updated information regarding the positions and capabilities of the enemy's systems is received during flight, the route could be re-evaluated and the mission could be re-planed or aborted if it is assessed to be too dangerous. The survivability model presented here describes the relation between the aircraft and the enemy's defense systems. It calculates the probabilities that the aircraft is in certain modes along the route, e.g., undetected, tracked or hit. Contrary to previous work, the model is able to capture that the enemy's systems can communicate and that the enemy must track the aircraft before firing a weapon. The survivability model is used to calculate an expected cost for the mission route. The expected cost has the attractive properties of summarizing the route into a single value and is able to take the pilot's risk attitude for the mission into account. The evaluation of the route is influenced by uncertainty regarding the locations of the enemy's sensors and weapons. Monte Carlo simulations are used to capture this uncertainty by calculating the mean and standard deviation for the expected cost. These two parameters give the pilots an assessment of the danger associated with the route as well as the reliability of this assessment. The paper concludes that evaluating routes with the survivability model and the expected cost could aid the pilots to plan and execute their missions. (C) 2014 Elsevier B.V. All rights reserved.

  • 5.
    Nilsson, Maria
    et al.
    University of Skövde, The Informatics Research Centre.
    van Laere, Joeri
    University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
    Susi, Tarja
    University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
    Ziemke, Tom
    University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
    Information fusion in practice: A distributed cognition perspective on the active role of users2012In: Information Fusion, ISSN 1566-2535, E-ISSN 1872-6305, Vol. 13, no 1, p. 60-78Article in journal (Refereed)
    Abstract [en]

    Traditionally, the focus of most information fusion research has been on computational aspects, as illustrated by, for example, different versions of the JDL data fusion model. Consequently, the human user has mainly been conceived as a relatively passive recipient of fused information. However, the importance of understanding the active role of human information processing in information fusion is gaining increasing recognition, as also reflected in discussions of a "level 5" in the JDL model. This paper presents a case study of the interaction between human and machine information processing in a maritime surveillance control room. A detailed analysis of cognitive processes and information flows involved in identifying and tracking moving vessels illustrates how machines and human operators collaboratively perform fusion in a highly distributed fashion. The theoretical framework of distributed cognition provides an alternative or complementary way of analysing information fusion systems/processes that more clearly reveals the actual complexities of the interaction between human and machine information processing in practice. (C) 2011 Elsevier B.V. All rights reserved.

  • 6.
    Rodríguez, R. M.
    et al.
    Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain.
    Bedregal, B.
    Department of Informatics and Applied Mathematics, Federal University of Rio Grande do Norte, Natal, Brazil.
    Bustince, H.
    Department of Automatic and Computation and Institute of Smart Cities, Public University of Navarra, Pamplona, Spain.
    Dong, Y. C.
    Business School, Sichuan University, Chengdu, China.
    Farhadinia, B.
    Department of Mathematics, Quchan University of Advanced Technology, Iran.
    Kahraman, C.
    Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey.
    Martínez, L.
    Department of Computer Science, University of Jaén, Jaén, Spain.
    Torra, Vicenç
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Xu, Y. J.
    Business School, Hohai University, Nanjing, China.
    Xu, Z. S.
    Business School, Sichuan University, Chengdu, China.
    Herrera, F.
    Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain / Faculty of Computing and Information Technology, King Abdulaziz University, North Jeddah, Saudi Arabia.
    A Position and Perspective Analysis of Hesitant Fuzzy Sets on Information Fusion in Decision Making: Towards High Quality Progress2016In: Information Fusion, ISSN 1566-2535, E-ISSN 1872-6305, Vol. 29, p. 89-97Article in journal (Refereed)
    Abstract [en]

    The necessity of dealing with uncertainty in real world problems has been a long-term research challenge which has originated different methodologies and theories. Recently, the concept of Hesitant Fuzzy Sets (HFSs) has been introduced to model the uncertainty that often appears when it is necessary to establish the membership degree of an element and there are some possible values that make to hesitate about which one would be the right one. Many researchers have paid attention on this concept who have proposed diverse extensions, relationships with other types of fuzzy sets, different types of operators to compute with this type of information, applications on information fusion and decision-making, etc.

    Nevertheless, some of these proposals are questionable, because they are straightforward extensions of previous works or they do not use the concept of HFSs in a suitable way. Therefore, this position paper studies the necessity of HFSs and provides a discussion about current proposals including a guideline that the proposals should follow and some challenges of HFSs.

  • 7.
    Torra, Vicenç
    et al.
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Guillen, Montserrat
    Department of Econometrics, Riskcenter-IREA, University of Barcelona, Spain.
    Santolino, Miguel
    Department of Econometrics, Riskcenter-IREA, University of Barcelona, Spain.
    Continuous m-dimensional distorted probabilities2018In: Information Fusion, ISSN 1566-2535, E-ISSN 1872-6305, Vol. 44, p. 97-102Article in journal (Refereed)
  • 8.
    Torra, Vicenç
    et al.
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Narukawa, Yasuo
    Toho Gakuen, Naka, Kunitachi, Tokyo, Japan.
    Numerical integration for the Choquet integral2016In: Information Fusion, ISSN 1566-2535, E-ISSN 1872-6305, Vol. 31, p. 137-145Article in journal (Refereed)
    Abstract [en]

    Choquet integrals with respect to non-additive (or fuzzy measures) have been used in a large number of applications because they permit us to integrate information from different sources when there are interactions. Successful applications use a discrete reference set. In the case of measures on a continuous reference set, as e.g. the real line, few results have been obtained that permit us to have an analytical expression of the integral. However, in most of the cases there is no such analytical expression. In this paper we describe how to perform the numerical integration of a Choquet integral with respect to a non-additive measure.

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