Towards a New Fuzzy Linguistic Preference Modeling Approach for Geolocation Applications
In many areas, fuzzy linguistic approaches have already shown their interest and successful results to express the preferences and the choices of a human. This paper focuses on the fuzzy linguistic 2-tuple representation model that is interesting and relevant when we need to express and to refer to linguistic assessments during the whole reasoning process. However, when data have a particular distribution on their axis, this model doesn’t fit well the needs anymore. We propose therefore a variant version of this representation model that allow for a more realistic distribution. We also show that an operation such as an arithmetic mean is easy to implement with it and gives consistent results.
KeywordsLinguistic Term Fuzzy Partitioning Fuzzy Linguistic Approach Alert Type Linguistic Hierarchy
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- 3.Châtel, P., Truck, I., Malenfant, J.: LCP-nets: A linguistic approach for non-functional preferences in a semantic SOA environment. Journal of Universal Computer Science, 198–217 (2010)Google Scholar
- 4.Booth, P.: An Introduction to Human-Computer Interaction. Lawrence Erlbaum Associates, Publishers, USA (1989)Google Scholar
- 5.Ambriola, V., Gervasi, V.: Processing natural language requirements. In: International Conference on Automated Software Engineering, p. 36. IEEE Computer Society, USA (1997)Google Scholar
- 6.Zadeh, L.: The concept of a linguistic variable and its application to approximate reasoning, i, ii and iii. IS 8 (1975)Google Scholar
- 8.Herrera, F., Martínez, L.: A model based on linguistic 2-tuples for dealing with multigranularity hierarchical linguistic contexts in multiexpert decisionmaking. IEEE Transactions on Systems, Man and Cybernetics. Part B: Cybernetics (2001)Google Scholar
- 9.Melekhova, O., Abchir, M.-A., Châtel, P., Malenfant, J., Truck, I., Pappa, A.: Self-Adaptation in Geotracking Applications: Challenges, Opportunities and Models. In: The 2nd International Conference on Adaptive and Self-Adaptive Systems and Applications (ADAPTIVE 2010), pp. 68–77. IEEE, Los Alamitos (2010)Google Scholar
- 11.Sung, W., You, K.: Adaptive precision geolocation algorithm with multiple model uncertainties. In: Adaptive Control, In-tech., pp. 323–336 (2009)Google Scholar
- 14.Herrera, F., Herrera-viedma, E., Martínez, L.: A fuzzy linguistic methodology to deal with unbalanced linguistic term sets. IEEE Transactions on Fuzzy Systems, 354–370 (2008)Google Scholar
- 16.Herrera, F., Martínez, L.: A model based on linguistic 2-tuples for dealing with multigranularity hierarchical linguistic contexts in multiexpert decisionmaking. IEEE Transactions on Systems, Man and Cybernetics. Part B: Cybernetics, 227–234 (2001)Google Scholar