메뉴 건너뛰기




Volumn 5809, Issue , 2005, Pages 265-276

Unified bayes filtering with fuzzy and rule-based evidence

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN THEORY; DEMPSTER-SHAFER THEORY; PROBABILISTIC/BAYESIAN PARADIGM; UNIFIED BAYES FILTERING;

EID: 27544446569     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.604712     Document Type: Conference Paper
Times cited : (5)

References (27)
  • 1
    • 0001563471 scopus 로고
    • Fuzzy sets as equivalence classes of random sets
    • R. Yager (ed.), Permagon
    • I.R. Goodman, "Fuzzy sets as equivalence classes of random sets," in R. Yager (ed.), Fuzzy Sets and Possibility Theory, Permagon, pp. 327-343, 1982.
    • (1982) Fuzzy Sets and Possibility Theory , pp. 327-343
    • Goodman, I.R.1
  • 2
    • 0028698991 scopus 로고
    • Toward a comprehensive theory of linguistic and probabilistic evidence: Two new approaches to conditional event algebra
    • I.R. Goodman, "Toward a Comprehensive Theory of Linguistic and Probabilistic Evidence: Two New Approaches to Conditional Event Algebra," IEEE Trans. on Sys., Man, and Cyber., Vol. 24, pp. 1865-1698, 1994.
    • (1994) IEEE Trans. on Sys., Man, and Cyber. , vol.24 , pp. 1865-11698
    • Goodman, I.R.1
  • 7
    • 68049088712 scopus 로고
    • A mathematical theory of uncertainty: Fuzzy experiments and their realizations
    • R.R. Yager (ed.), Permagon Press
    • U. Höhle, "A mathematical theory of uncertainty: fuzzy experiments and their realizations," in R.R. Yager (ed.), Recent Developments in Fuzzy Set and Possibility Theory, Permagon Press, pp. 344-355, 1981.
    • (1981) Recent Developments in Fuzzy Set and Possibility Theory , pp. 344-355
    • Höhle, U.1
  • 8
    • 27544516340 scopus 로고
    • Doctoral Dissertation, Dept. of Elec. Eng. and Comp. Sci., Massachusetts Institute of Technology, July 1994
    • Y. Li, "Probabilistic Interpretations of Fuzzy Sets and Systems," Doctoral Dissertation, Dept. of Elec. Eng. and Comp. Sci., Massachusetts Institute of Technology, July 1994, 1994.
    • (1994) Probabilistic Interpretations of Fuzzy Sets and Systems
    • Li, Y.1
  • 9
    • 27544481253 scopus 로고    scopus 로고
    • A Bayesian unification of dempster-shafer, fuzzy, and rule-based data fusion
    • under review
    • R. Mahler, "A Bayesian Unification of Dempster-Shafer, Fuzzy, and Rule-Based Data Fusion," under review, IEEE Trans. Sys. Man. Cyber. Part B, 2004.
    • (2004) IEEE Trans. Sys. Man. Cyber. Part B
    • Mahler, R.1
  • 10
    • 8844224226 scopus 로고    scopus 로고
    • Bayesian vs. 'plain-vanilla Bayesian' multitarget statistics
    • I. Kadar (ed.), SPIE
    • R. Mahler, "Bayesian vs. 'plain-vanilla Bayesian' multitarget statistics," in I. Kadar (ed.), Sign. Proc., Sensor Fusion, and Targ. Recog. XIII, pp. 1-12, SPIE Vol. 5429, 2004.
    • (2004) Sign. Proc., Sensor Fusion, and Targ. Recog. XIII , vol.5429 , pp. 1-12
    • Mahler, R.1
  • 12
    • 8844286937 scopus 로고    scopus 로고
    • Formal vs. heuristic modeling for multitarget Bayesian filtering
    • O. Drummond (ed.), SPIE
    • R. Mahler, "Formal vs. heuristic modeling for multitarget Bayesian filtering," in O. Drummond (ed.), Sign. and Data Proc. of Small Targets 2004, pp. 342-353, SPIE Vol. 5428, 2004.
    • (2004) Sign. and Data Proc. of Small Targets 2004 , vol.5428 , pp. 342-353
    • Mahler, R.1
  • 14
    • 0031347730 scopus 로고    scopus 로고
    • Measurement models for ambiguous evidence using conditional random sets
    • I. Kadar (ed.), SPIE
    • R. Mahler, "Measurement models for ambiguous evidence using conditional random sets," in I. Kadar (ed.), Signal Processing, Sensor Fusion, and Target Recognition VI, SPIE Vol. 3068, pp. 40-51, 1997.
    • (1997) Signal Processing, Sensor Fusion, and Target Recognition VI , vol.3068 , pp. 40-51
    • Mahler, R.1
  • 15
    • 1642401353 scopus 로고    scopus 로고
    • Multitarget filtering via first-order multitarget moments
    • R. Mahler, "Multitarget filtering via first-order multitarget moments," IEEE Trans. AES, vol. 39 no. 4, pp. 1152-1178, 2003.
    • (2003) IEEE Trans. AES , vol.39 , Issue.4 , pp. 1152-1178
    • Mahler, R.1
  • 16
    • 6344219869 scopus 로고    scopus 로고
    • Random sets: Unification and computation for information fusion - A retrospective assessment
    • Stockholm, Sweden, June 28-July 1, Int'l. Soc. Inf. Fusion, Sunnyvale, CA
    • th Int'l. Conf. on Inf. Fusion, pp. 1-20, Stockholm, Sweden, June 28-July 1, 2004, Int'l. Soc. Inf. Fusion, Sunnyvale, CA.
    • (2004) th Int'l. Conf. on Inf. Fusion , pp. 1-20
    • Mahler, R.1
  • 17
    • 0345153330 scopus 로고    scopus 로고
    • Random set theory for target tracking and identification
    • D.L. Hall and J. Llinas (eds.), Chapter 14, CRC Press, Boca Raton FL
    • R. Mahler, "Random Set Theory for Target Tracking and Identification," in D.L. Hall and J. Llinas (eds.), Handbook of Multisensor Data Fusion, Chapter 14, CRC Press, Boca Raton FL, 2002.
    • (2002) Handbook of Multisensor Data Fusion
    • Mahler, R.1
  • 18
    • 0029774979 scopus 로고    scopus 로고
    • Representing rules as random sets, I: Statistical correlations between rules
    • R. Mahler, "Representing Rules as Random Sets, I: Statistical Correlations Between Rules," Information Sciences, vol. 88, pp. 47-68, 1996.
    • (1996) Information Sciences , vol.88 , pp. 47-68
    • Mahler, R.1
  • 19
    • 0030216146 scopus 로고    scopus 로고
    • Representing rules as random sets, II: Iterated rules
    • R. Mahler, "Representing Rules as Random Sets, II: Iterated Rules," Int'l J. Intell. Sys., vol. 11, pp. 583-610, 1996.
    • (1996) Int'l J. Intell. Sys. , vol.11 , pp. 583-610
    • Mahler, R.1
  • 20
    • 1442338380 scopus 로고    scopus 로고
    • 'Statistics 101' for multisensor, multitarget data fusion
    • January
    • R. Mahler, '"Statistics 101' for Multisensor, Multitarget Data Fusion," IEEE AES Mag., Part 2: Tutorials, Vol. 19 No. 1, pp. 53-64, January 2004.
    • (2004) IEEE AES Mag., Part 2: Tutorials , vol.19 , Issue.1 , pp. 53-64
    • Mahler, R.1
  • 26
    • 0346578328 scopus 로고
    • Random closed sets: A unified approach to the representation of imprecision and uncertainty
    • R. Kruse and P. Siegel (eds.), Springer-Verlag
    • P. Quinio and T. Matsuyama, "Random Closed Sets: A Unified Approach to the Representation of Imprecision and Uncertainty," in R. Kruse and P. Siegel (eds.), Symbolic and Quantitative Approaches to Uncertainty, pp. 282-286, Springer-Verlag, 1991.
    • (1991) Symbolic and Quantitative Approaches to Uncertainty , pp. 282-286
    • Quinio, P.1    Matsuyama, T.2
  • 27
    • 0035166951 scopus 로고    scopus 로고
    • None-of-the-above (NOTA) capability for INTELL-based NCTI
    • I. Kadar (ed.), SPIE
    • E. Sorensen, T. Brundage, and R. Mahler, "None-of-the-above (NOTA) capability for INTELL-based NCTI," in I. Kadar (ed.), Sig. Proc., Sensor Fusion, and Targ. Recog. X, SPIE Vol. 4380, pp. 281-287, 2001.
    • (2001) Sig. Proc., Sensor Fusion, and Targ. Recog. X , vol.4380 , pp. 281-287
    • Sorensen, E.1    Brundage, T.2    Mahler, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.