Publications

T. Sudkamp*, Languages
and Machines: An Introduction to the Theory of Computer Science*,
Addison-Wesley, 1988. Second Edition,
1997, Third Edition 2006.

V.
Cross and T. Sudkamp, *Similarity and Computability
in Fuzzy Set Theory: Assessments and Applications,* Studies in Fuzziness and
Soft Computing: Vol. 93, Physica-Verlag, 2002.

F. Berzal, J. C. Cubero, Z. W. Ras, T. Sudkamp, and R. Yager, editors, *Computational
Intelligence in Data Mining*, IEEE Press, New York, 2005.

**Contributions in Books**

T. Sudkamp, Imprecision and structure in modeling subjective
similarity, in *Preferences and
Similarities*, Editors G. Della-Ricci, D. Dubois, R. Kruse, H.-J. Lenz,
Springer,

T. Sudkamp, Discovery of fuzzy temporal associations in
multiple data streams, in *Advances in
Soft Computing*, Editors F. Hoffmann, M. Köppen,
F. Klawonn, and R. Roy, Springer,

D.
Dubois, H. Prade, and T. Sudkamp,
A discussion of indices for the evaluation of fuzzy associations in relational
databases, in *Fuzzy Sets and Systems—IFSA
2003*, Editors T. Bilgic, B. Debaets,
and O. Kaynak, Lecture Notes in Artificial
Intelligence, Springer, Berlin, pp. 111--118, 2003.

T. Sudkamp, A. Knapp, and J. Knapp, The effect of rule
representation in rule base reduction,
in *Interpretability Issues in
Fuzzy Modeling*, Studies in Fuzziness and Soft Computing, Editors J. Casillas, O. Cordón, F. Herrera,
and L. Magdalena, Springer-Verlag, Berlin, pp.
303--324, 2003.

T.
Sudkamp, Granularity and specificity in fuzzy rule based systems, in *Granular Computing: An
Emerging Paragidm*, Physica-Verlag,

T. Sudkamp, Nonmonotonic logic, in *Encyclopedia of Computer Science-Fourth
Edition,* Editors A. Ralston, E. D. Reilly, and D. Hemmendinger,
Graves Dictionaries, New York, pp. 1241--1244, 2000.

R.
J. Hammell and T. Sudkamp,
Learning, Adaptivity, and Complexity in a
Hierarchical Fuzzy Model, *Encyclopedia of
Computer Science and Technology*, Vol. 41, Editors A. Kent and J. G.
Williams, Marcel Dekker, Inc., New York, 1999, pp. 99--124.

T.
Sudkamp and R. J. Hammell II, Rule base completion in
fuzzy models, in *Fuzzy Modeling:
Paradigms and Practices*, edited by W. Pedrycz, Kluwer Academic Press, pp. 313--330, 1996.

T.
Sudkamp, Domain independent support propagation architectures, in *Methodologies for Intelligent Systems*,
edited by Z. W. Ras and M. Zemankova,

**Journal Publications**

M.
Goo and T. Sudkamp,
A method of converting a fuzzy system to a 2-level hierarchical system, *IEEE
Transactions on Fuzzy Systems*, Vol. 17, No. 4, pp. 93--103, February 2009.

T. Sudkamp, Refinement of temporal constraints in fuzzy
associations, *International Journal of
Approximate Reasoning*, Vol. 40, No. 1, 23--35, April 2008.

T. Sudkamp, Sporadic fuzzy temporal associations,
International Journal of General Systems, Vol. 37, No. 1, pp. 3--16, September,
2007.

M. Serrurier, D. Dubois, H. Prade,
and T. Sudkamp, Learning fuzzy rules with their
implication operators, Data and Knowledge Engineering, Vol. 60, No. 1, pp. 71--89, January, 2007.

D.
Dubois, H. Prade, and T. Sudkamp,
On the representation, measurement, and discovery of fuzzy associations, *IEEE
Transactions on Fuzzy Systems*, Vol. 13, No. 2, pp. 250--262, April 2005.

T. Sudkamp, Examples, counterexamples, and measuring fuzzy
associations, *Fuzzy Sets and Systems*,
Vol. 149, No. 1, pp. 57--71, February,
2005.

D.
Spiegel and T. Sudkamp, Sparse data in the
evolutionary generation of fuzzy models, *Fuzzy
Sets and Systems*, Vol. 138, No. 2, pp. 363 --379, September, 2003.

T. Sudkamp, A. Knapp, and J. Knapp, Model generation by domain
refinement and rule reduction, IEEE Transactions on Systems, Man, and
Cybernetics, Vol. 33, No. 1, pp. 45--55, February, 2003.

D.
Spiegel and T. Sudkamp, Employing locality in the evolutionary generation of
fuzzy rule bases, *IEEE Transactions on
Systems, Man, and Cybernetics-B*, Vol. 32,
No. 3, pp 296--305, June 2002.

T.
Sudkamp and R. J. Hammell II, Scalability in fuzzy
rule-based learning, *Information Sciences*,
Vol. 199, pp. 135--147, August 1998.

V.
Cross and T. Sudkamp, Geometric compatibility modification, *Fuzzy Sets and Systems*, Vol. 84, No. 3,
pp. 283--300, December 1996.

R.
J. Hammell II and T. Sudkamp, An adaptive
hierarchical fuzzy model,* Expert Systems
with Applications*, Vol. 11, No. 2, pp. 125--136, October 1996.

R.
J. Hammell II and T. Sudkamp, A two level
architecture for fuzzy learning, *Journal
of Intelligent and Fuzzy Systems*, Vol. 3, No. 4, pp. 273--286, October
1995.

V.
Cross and T. Sudkamp, Patterns of fuzzy rule-based inference*, International Journal of Approximate
Reasoning*, Vol. 11, No. 33, pp. 235--255, October 1994.

T.
Sudkamp, Geometric measures of possibilisitic uncertainty*, International Journal of General Systems*,
Vol. 22, No. 1, pp. 7--23, July 1993.

T.
Sudkamp and R. J. Hammell II, Interpolation,
completion, and learning fuzzy rules, *IEEE
Transactions on Systems, Man, and Cybernetics*, Vol. 24, No. 2, pp. 332--342,
February 1994.

T.
Sudkamp, Similarity, interpolation, and fuzzy rule construction*, Fuzzy Sets and
Systems*, Vol. 58, No. 1, pp. 73-86, August 1993.

T.
Sudkamp, The semantics of plausibility and possibility*, International Journal of General Systems*, Vol. 21, No. 3, pp.
273--289, December 1992.

C. Fickert and T. Sudkamp, Unification-based FP interpreters, *SigPlan** Notices*, Vol. 27, No. 11, pp. 49--58,
November 1992.

T.
Sudkamp, On probability-possibility transformations, *Fuzzy Sets and Systems*, Vol. 51, No. 2, pp. 73--82, October 1992.

T.
Sudkamp, The consistency of Dempster-Shafer updating,
*The International Journal of Approximate
Reasoning*, Vol. 7, No. 2, pp. 19--44, August 1992.

T. Sudkamp, On full cylindric set algebras, *Notre
Dame Journal of Formal Logic*, vol. 20, pp. 785--793, 1979.

T.
Sudkamp, An additional remark on self-conjugate functions of Boolean algebras, *Notre Dame Journal of Formal Logic*, vol.
19, pp. 637--638, 1978.

T.
Sudkamp, Self-conjugate functions on Boolean algebras, *Notre Dame Journal of Formal Logic*, vol. 19, pp. 504--512, 1978.

T.
Sudkamp, A proof of Sobocinski's conjecture
concerning a certain set of lattice theoretical formulas, *Notre Dame Journal of Formal L*ogic, vol. 17, pp. 615--616, 1976.

**Conference Papers**

T. Sudkamp, Linguistic refinement of temporal rules, *Proceedings of the 2006 Conference of the
North American Fuzzy Information Processing Society*,

T. Sudkamp, Sporadic fuzzy temporal associations, *Proceedings of the 2005 Conference of the
North American Fuzzy Information Processing Society*, Ann Arbor, pp.
737--742, June 2005.

M. Serrurier, D. Dubois, H. Prade,
and Thomas Sudkamp*,
*Fuzzy inductive logic programming: learning fuzzy rules with their
implication, *Proceedings of FUZZ-IEEE
2005; The Ninth IEEE International Conference on Fuzzy
Systems*,

T. Sudkamp, Co-occurrence, interest, and fuzzy sets, *Proceedings of the 2004 Conference of the
North American Fuzzy Information Processing Society*, Bannf,
pp. 508---513, July 2004.

M. Serrurier, D. Dubois, H. Prade,
and Thomas Sudkamp, Learning first order fuzzy rules
with their implication operator, *Proc. of
the 10th International Conference on Information Processing and Management of
Uncertainty in Knowledge-Based Systems* (IPMU'04)}, Perugia, Italy, pp.
831--838, July 2004.

D.
Dubois, H.Prade, S. Lavalley,
M. Serrurier, and T. Sudkamp,
Apprentissage du type de règle
floue le plus pertinent, *Rencontres** Francophones sur
la Logique Floue et ses Applications--2003*,

T. Sudkamp and R. Hammell II,
Discovering imprecise temporal associations, *Proceedings of the 2003 Conference of the North American Fuzzy
Information Society*, Chicago, pp. 99--104, July 2003.

V.
Cross and T. Sudkamp, Sparse data and rule base
completion, *Proceedings of the 2003
Conference of the North American Fuzzy Information Society*,

T. Sudkamp, Similarity and the measurement of possibility, *Rencontres** Francophone sur
la Logique Floue et ses Applications—2002*,

D.
Spiegel and T. Sudkamp, Tuning membership functions
in local evolutionary generation of fuzzy models, *The Proceedings of the 2002 Conference of the North American Fuzzy Information
Processing Society*,

T. Sudkamp, J. Knapp and A. Knapp, Refine and merge:
generating small rule bases from training data, *The Proceedings of the 9 ^{th} IFSA Congress and 20^{th}
NAFIPS International Conference*,

T.
Sudkamp, A. Knapp and J. Knapp, A greedy approach to rule reduction in fuzzy
models, *The Proceedings of the 2000 IEEE
International Conference on Systems, Man, and Cybernetics*, Nashville, pp.
3716--3722, October 2000.

D.
Spiegel and T. Sudkamp, Compensating for sparse data in evolutionary generation
of fuzzy models, *The Proceedings of the
2000 Conference of the North American Fuzzy Information Processing Society*,

T.
Sudkamp, Similarity as a foundation for possibility, *The Proceedings of the Ninth
IEEE International Conference on Fuzzy Systems*, San Antonio, TX, pp.
735--740, May 2000.

T.
Sudkamp and D. Spiegel, Evolutionary strategies for fuzzy models: local vs global construction*,*
*The Proceedings of the 1999 Conference of
the North American Fuzzy Information Processing Society*, New York, pp.
203--207, June 1999.

R.
J. Hammell II and T. Sudkamp, Learning fuzzy rules
from data, in The* Application of
Information Technologies to Mission Systems:
NATO Research and Technology Organization Proceedings 3*, pp. 8.1--8.10,
November 1998.

T.
Sudkamp and D. Spiegel, Generation of fuzzy models via evolutionary strategies,
*The Proceedings of the 1998 IEEE
International Conference on Systems, Man, and Cybernetics*, San Diego, pp.
1934--1939, October 1999.

T.
Sudkamp and R. J. Hammell II, Granularity and
specificity in fuzzy function approximation, *The Proceedings of the 1998 Conference of the North American Fuzzy
Information Processing Society*, Pensacola, FL., pp. 105--109, August 1998.

R. J. Hammell II and T. Sudkamp, Learning fuzzy rules from data, NATO Mission Systems 9th Symposium on the Application of Information Technologies to Mission Systems, Monterey, CA, April 1997.

R.
J. Hammell II and T. Sudkamp, A fuzzy model for
learning and adaptivity, *The Proceedings of the Ninth International Conference on Tools with
Artificial Intelligence*, Newport Beach, CA, pp. 540--547, November 1997.

T.
Sudkamp and R. J. Hammell II, Learning algorithms and
dimensionality, *The Proceedings of the
1997 Conference of the North American Fuzzy Information Processing Society*,
Syracuse University, pp. 106--111, September 1997.

T.
Sudkamp and R. J. Hammell II, Scalability in a
hierarchical learning system, *Joint
Conference of Information Sciences*,

T.
Sudkamp, Learning strategies for fuzzy systems, P*roceedings of the International Workshop on Breakthrough Opportunities
in Fuzzy Logic*, Yokohoma Japan, pp. 15-17,
December 1996.

T.
Sudkamp, Decision making with probabilistic and possibilistic
information, *Intelligent Systems: A Semiotic Perspective*,

V.
Cross and T. Sudkamp, A fuzzy-valued matching index*, IEEE International Conference on Fuzzy Systems*, New Orleans LA,
pp. 1320--1325, September 1996.

T.
Sudkamp and V. Cross, Toward fuzzy-valued matching and similarity assessment, *The Proceedings of the 1996 Conference of
the North American Fuzzy Information Processing Society*, Berkeley CA, pp.
59--62, June 1996.

T.
Sudkamp and R. J. Hammell II, Adaptivity
in a hierarchical fuzzy model, *The
Proceedings of the ISUMA-NAFIPS 95*,

V.
Cross and T. Sudkamp, Geometric plausible inference*, The Proceedings of the IEEE International Conference on Fuzzy Systems*,
Orlando, FL, pp. 452--455, June 1994.

V.
Cross and T. Sudkamp, Fuzzy implication and compatibility modification*, The Proceedings of the IEEE International
Conference on Fuzzy Systems*, San Francisco, CA, pp. 219--224, March 1993.

V.
Cross and T. Sudkamp, An empirical study of compatibility and aggregation
operations, *Intelligent Systems and
Computer Vision:X*, SPIE
Vol. 1607,

V.
Cross and T. Sudkamp, Compatibility and aggregation in fuzzy evidential
reasoning, *Proceedings of the 1991 IEEE
International Conference on Systems, Man, and Cybernetics*, Charlottesville
VA, pp. 1901--1906, October 1991.

M.
B. Clausing and T. Sudkamp, A comparison of probabilistic
methods for classification, *Proceedings
of the 1991 IEEE International Conference on Systems, Man, and Cybernetics*,
Charlottesville VA, pp. 153--158, October 1991.

V.
Cross and T. Sudkamp, Compatibility measures for fuzzy evidential reasoning, *The Fourth International Conference on
Industrial and Engineering Applications of Artificial Intelligence and Expert
Systems*,

T.
Sudkamp and V. Cross, Representation and support generation in fuzzy relational
databases, *Proceedings of the National
Aeronautics and Electronics Conference-91*, Dayton OH, pp. 1036--1043, May
1991.

T.
Sudkamp and M. B. Clausing, Probabilistic iterative
classification using uncertain information, 1 *Proceedings of the National Aeronautics and Electronics Conference-9*,

T.
Sudkamp and V. Cross, Support generation in fuzzy relational databases, *The Proceedings of the North American Fuzzy
Information Processing Society*, Toronto, pp. 265--268, June 1990.

T.
Sudkamp and M. B. Clausing, A probabilistic iterative
architecture for classification, *Proceedings
of the National Aeronautics and Electronics Conference-90*, Dayton OH, pp. 1171--1176, May 1990.

T.
Sudkamp and V. Cross, Evaluation of approximate reasoning methodologies, *Proceedings of the National Aeronautics and
Electronics Conference-90*,

T.
Sudkamp, Evidential compatibility measures, *Proceedings
of the Fourth International Symposium on Methodologies for Intelligent Systems*,
Charlotte NC, pp. 13--24, October 1989.

T.
Sudkamp, Representation of information for fuzzy evidential reasoning, *The International Fuzzy Systems Association:
Proceedings of the Third Congress*, Seattle WA, p. 559--562, August 1989.

T. Sudkamp, Possibilistic
representation in classification problems (abstract), *Proceedings of the Annual Conference of the International Association
of Knowledge Engineers*, College Park MD, p. 618, July 1989,

T.
Sudkamp, Fuzzy evidential reasoning*,
Proceedings of the National Aeronautics and Electronics Conference-89*,

T.
Sudkamp and J. Courte, Selection of sub-domains in hierarchic path generation, *Applications of Artificial Intelligence VII*,
sponsored by The International Society for Optical Engineering and The IEEE
Computer Society, Orlando FL, pp. 426—434, March 1989.

T.
Sudkamp, Transformation based endorsement systems, *Proceedings of the NASA, AFOSR Workshop on Space Operations, Automation
and Robotics*---1988, Dayton OH, pp. 143--147, June 1988.

T.
Sudkamp, C. Lizza and C. Wagner, Hierarchic Path
Generation*, Applications of Artificial
Intelligence VI*, sponsored by the International Society for Optical
Engineering and the IEEE Computer Society, Orlando FL, pp. 442--449, March
1988.

T.
Sudkamp and R. Shanahan, Analysis of heuristic search models, *Proceedings of the 1987 ACM Computer Science
Conference*,

T.
Sudkamp, Inference propagation in emitter, system hierarchies, *Proceedings of the International Symposium
on Methodologies for Intelligent Systems*, SIGART Press, pp. 165--173,
October 1986.

T.
Sudkamp, Grammars for functional languages, *Proceedings
of the 1986 ACM Computer Science Conference*, Cincinnati OH, pp. 155--164,
February 1986.

H.
Davis, R. Pollack and T. Sudkamp, Towards a better
understanding of bidirectional search, *Proceedings
of the American Association for Artificial Intelligence*,