Search Results - "Ruspini, E.H."

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  1. 1

    Building on solid foundations: from conceptual semantics to intelligent-systems applications by Ruspini, E.H.

    “…Summary form only given. In the past, we have endeavored to develop a better understanding of the nature of fuzzy-logic approaches on the basis of their…”
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    Conference Proceeding
  2. 2

    Generation of qualitative descriptions of complex objects by Ruspini, E.H.

    “…Humans develop useful insights into the structure and behavior of physical systems by discovery of relations of dependence between major subsystems or between…”
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    Conference Proceeding
  3. 3

    Evidential reasoning in fusion: Needs and issues by Ruspini, E.H.

    “…Evidential-reasoning methods, such as the Dempster-Shafer calculus of evidence, are widely applied to information fusion problems. In this paper we examine…”
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    Conference Proceeding
  4. 4

    Fuzzy logic-based planning and reactive control of autonomous mobile robots by Ruspini, E.H.

    “…Certain important control problems require the regulation of complex systems operating in uncertain environments. In these problems, the controller seeks to…”
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    Conference Proceeding
  5. 5

    Experiments in multiobjective fuzzy control of hybrid automotive engines by Berenji, H.R., Ruspini, E.H.

    “…Hybrid electric vehicles (HEV) generate the power required to drive the vehicle and to operate on-board accessories by a combination of internal-combustion…”
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    Conference Proceeding
  6. 6

    The logical and probabilistic bases of the calculus of evidence by Ruspini, E.H.

    “…Summary form only given. The approach proposed by R. Carnap (1962) to the development of logical bases for probability theory is applied to structures based on…”
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    Conference Proceeding
  7. 7

    Formal aspects of fuzzy logic-approaches to multiobjective control by Ruspini, E.H.

    “…We review two fuzzy-logic approaches for the control of systems operating in highly uncertain environments. These systems are characterized by requirements…”
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    Conference Proceeding
  8. 8

    Possibility theory approaches for advanced information systems by Ruspini, E H

    Published in Computer (Long Beach, Calif.) (01-09-1982)
    “…There is an increasing demand for models of real world systems where pertinent information cannot be measured or characterized with precision. Of particular…”
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    Journal Article
  9. 9

    Human-aided multi-sensor fusion by Chan, M., Ruspini, E.H., Lowrance, J., Yang, J., Murdock, J., Yeh, E.

    “…This paper discusses some fundamental requirements for a human-aided multi-sensor fusion system, and proposes an approach that implements such a system. This…”
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    Conference Proceeding
  10. 10
  11. 11

    Database editing metrics for pattern matching by Ruspini, E.H., Thomere, J., Wolverton, M.

    “…Pattern-matching techniques are important tools to treat problems in several fields, including bioinformatics, case-based reasoning, information retrieval, and…”
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    Conference Proceeding
  12. 12

    Automated qualitative description of measurements by Ruspini, E.H., Zwir, I.S.

    “…Measurements are usually thought of as precise numbers resulting from observation of a real-world system by means of special sensors or measuring devices…”
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    Conference Proceeding
  13. 13

    The paradoxical success of fuzzy logic by Elkan, C., Berenji, H.R., Chandrasekaran, B., de Silva, C.J.S., Attikiouzel, Y., Dubois, D., Prade, H., Smets, P., Freksa, C., Garcia, O.N., Klir, G.J., Bo Yuan, Mamdani, E.H., Pelletier, F.J., Ruspini, E.H., Turksen, B., Vadiee, N., Jamshidi, M., Pei-Zhuang Wang, Sie-Keng Tan, Shaohua Tan, Yager, R.R., Zadeh, L.A.

    Published in IEEE expert (01-08-1994)
    “…Fuzzy logic methods have been used successfully in many real-world applications, but the foundations of fuzzy logic remain under attack. Taken together, these…”
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    Journal Article
  14. 14

    Automated controller elicitation and refinement for power trains of hybrid electric vehicles by Berenji, H.R., Ruspini, E.H.

    “…Hybrid electric vehicles (HEV) incorporate a combination of internal combustion devices and electrical generators as sources for the energy to drive the…”
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    Conference Proceeding
  15. 15

    Blending reactivity and goal-directedness in a fuzzy controller by Saffiotti, A., Ruspini, E.H., Konolige, K.

    “…Controlling the movement of an autonomous mobile robot requires the ability to pursue strategic goals in a highly reactive way. The authors describe a fuzzy…”
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    Conference Proceeding Journal Article
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