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ORCIDJames J. Buckley
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2000 – 2009
- 2009
[j69]Areeg Abdalla
, James J. Buckley:
Monte Carlo methods in fuzzy queuing theory. Soft Comput. 13(11): 1027-1033 (2009)- 2008
- [b3]James J. Buckley, Leonard J. Jowers:
Monte Carlo Methods in Fuzzy Optimization. Studies in Fuzziness and Soft Computing 222, Springer 2008, ISBN 978-3-540-76289-8, pp. 3-245 [contents] - [j68]Leonard J. Jowers, James J. Buckley, Kevin D. Reilly:
Simulating continuous fuzzy systems for fuzzy solution surfaces. Soft Comput. 12(3): 235-241 (2008) - [j67]Seung-Hoe Choi, James J. Buckley:
Fuzzy regression using least absolute deviation estimators. Soft Comput. 12(3): 257-263 (2008) - [j66]Areeg Abdalla, James J. Buckley:
Monte Carlo methods in fuzzy linear regression II. Soft Comput. 12(5): 463-468 (2008) - [p1]James J. Buckley, Esfandiar Eslami:
Pricing Options, Forwards and Futures Using Fuzzy Set Theory. Fuzzy Engineering Economics with Applications 2008: 339-357 - 2007
- [j65]Leonard J. Jowers, James J. Buckley, Kevin D. Reilly:
Simulating continuous fuzzy systems. Inf. Sci. 177(2): 436-448 (2007) - [j64]Areeg Abdalla, James J. Buckley:
Monte Carlo methods in fuzzy linear regression. Soft Comput. 11(10): 991-996 (2007) - [j63]James J. Buckley:
Maximum entropy principle with imprecise side-conditions III: Crisp continuous solutions. Soft Comput. 11(11): 1089-1097 (2007) - 2006
- [j62]James J. Buckley:
Maximum entropy principle with imprecise side-conditions II: crisp discrete solutions. Soft Comput. 10(3): 187-192 (2006) - [c11]Seung-Hoe Choi, James J. Buckley:
Least Absolute Deviation Estimators for Interval Regression. JCIS 2006 - 2005
- [b2]James J. Buckley:
Simulating Fuzzy Systems. Studies in Fuzziness and Soft Computing 171, Springer 2005, ISBN 978-3-540-24116-4, pp. 1-204 [contents] - [j61]James J. Buckley:
Maximum entropy principle with imprecise side-conditions. Soft Comput. 9(7): 507-511 (2005) - [j60]James J. Buckley:
Fuzzy statistics: hypothesis testing. Soft Comput. 9(7): 512-518 (2005) - [j59]James J. Buckley:
Fuzzy systems. Soft Comput. 9(10): 757-760 (2005) - [j58]James J. Buckley:
Fuzzy statistics: regression and prediction. Soft Comput. 9(10): 769-775 (2005) - 2004
- [b1]James J. Buckley:
Fuzzy Probabilities and Fuzzy Sets for Web Planning. Studies in Fuzziness and Soft Computing 135, Springer 2004, ISBN 978-3-642-05596-6, pp. 1-180 - [j57]James J. Buckley, Esfandiar Eslami:
Fuzzy Ordering Of Fuzzy Numbers. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 12(1): 105-114 (2004) - [j56]James J. Buckley, Esfandiar Eslami:
Uncertain probabilities II: the continuous case. Soft Comput. 8(3): 193-199 (2004) - [j55]James J. Buckley:
Uncertain probabilities III: the continuous case. Soft Comput. 8(3): 200-206 (2004) - [j54]James J. Buckley, Kevin D. Reilly, Xidong Zheng:
Fuzzy probabilities for web planning. Soft Comput. 8(7): 464-476 (2004) - 2003
- [j53]Vladik Kreinovich, Luc Longpré, James J. Buckley:
Are There Easy-to-Check Necessary and Sufficient Conditions for Straightforward Interval Computations To Be Exact? Reliab. Comput. 9(5): 349-358 (2003) - [j52]James J. Buckley, Esfandiar Eslami:
Uncertain probabilities I: the discrete case. Soft Comput. 7(8): 500-505 (2003) - [c10]Xidong Zheng, Kevin D. Reilly, James J. Buckley:
Comparing Genetic Algorithms and Exhaustive Methods Used in Optimization Problems for Fuzzy Probability-Based Web Planning Models. IC-AI 2003: 463-468 - 2002
- [j51]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Solving fuzzy equations using evolutionary algorithms and neural nets. Soft Comput. 6(2): 116-123 (2002) - [j50]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Linear systems of first order ordinary differential equations: fuzzy initial conditions. Soft Comput. 6(6): 415-421 (2002) - [j49]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Solving fuzzy problems in operations research: inventory control. Soft Comput. 7(2): 121-129 (2002) - 2001
- [j48]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Fuzzy hierarchical analysis revisited. Eur. J. Oper. Res. 129(1): 48-64 (2001) - [j47]Robert Csutora, James J. Buckley:
Fuzzy hierarchical analysis: the Lambda-Max method. Fuzzy Sets Syst. 120(2): 181-195 (2001) - [j46]James J. Buckley, Thomas Feuring:
Fuzzy initial value problem for Nth-order linear differential equations. Fuzzy Sets Syst. 121(2): 247-255 (2001) - [j45]James J. Buckley:
Note on "Convergence of powers of a fuzzy matrix". Fuzzy Sets Syst. 121(2): 363-364 (2001) - [j44]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Fuzzy Queueing Theory Revisited. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 9(5): 527-537 (2001) - [j43]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Multi-objective Fully Fuzzified Linear Programming. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 9(5): 605-621 (2001) - [j42]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Intelligent Consultant. J. Adv. Comput. Intell. Intell. Informatics 5(2): 119-124 (2001) - [j41]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Fuzzy Difference Equations: The Initial Value Problem. J. Adv. Comput. Intell. Intell. Informatics 5(6): 315-325 (2001) - 2000
- [j40]James J. Buckley, Thomas Feuring:
Evolutionary algorithm solution to fuzzy problems: Fuzzy linear programming. Fuzzy Sets Syst. 109(1): 35-53 (2000) - [j39]James J. Buckley, Thomas Feuring:
Fuzzy differential equations. Fuzzy Sets Syst. 110(1): 43-54 (2000) - [j38]James J. Buckley, Thomas Feuring:
Linear and non-linear fuzzy regression: Evolutionary algorithm solutions. Fuzzy Sets Syst. 112(3): 381-394 (2000) - [j37]James J. Buckley, Thomas Feuring:
Universal approximators for fuzzy functions. Fuzzy Sets Syst. 113(3): 411-415 (2000) - [j36]James J. Buckley, Aimin Yan:
Fuzzy functional analysis (I): Basic concepts. Fuzzy Sets Syst. 115(3): 393-402 (2000) - [j35]James J. Buckley, Bill P. Buckles, Frederick E. Petry:
Processing noisy structured textual data using a fuzzy matching approach: application to postal address errors. Soft Comput. 4(4): 195-205 (2000) - [c9]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Fuzzy integral equations. FUZZ-IEEE 2000: 319-323 - [c8]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Solving fuzzy problems in operations research: inventory control. FUZZ-IEEE 2000: 352-357
1990 – 1999
- 1999
- [j34]Thomas Feuring, James J. Buckley, Wolfram-Manfred Lippe, Andreas Tenhagen:
Stability analysis of neural net controllers using fuzzy neural networks. Fuzzy Sets Syst. 101(2): 303-313 (1999) - [j33]James J. Buckley, Yoichi Hayashi:
Can neural nets be universal approximators for fuzzy functions? Fuzzy Sets Syst. 101(3): 323-330 (1999) - [j32]James J. Buckley:
Erratum to "Can approximate reasoning be consistent?": [Fuzzy sets and systems 65 (1994) 13-18]. Fuzzy Sets Syst. 103(1): 189-190 (1999) - [j31]James J. Buckley, Thomas Feuring:
Comments on "Frequency/time domain methods for solutions of N-order fuzzy differential equations" by Zhang, Wang and Liu. Fuzzy Sets Syst. 105(1): 185-186 (1999) - [j30]James J. Buckley, Thomas Feuring:
Introduction to fuzzy partial differential equations. Fuzzy Sets Syst. 105(2): 241-248 (1999) - [j29]James J. Buckley, Aimin Yan:
Fuzzy topological vector spaces over R. Fuzzy Sets Syst. 105(2): 259-275 (1999) - [j28]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Neural net solutions to fuzzy linear programming. Fuzzy Sets Syst. 106(2): 99-111 (1999) - [j27]James J. Buckley, William Siler:
L∞ fuzzy logic. Fuzzy Sets Syst. 107(3): 309-322 (1999) - [j26]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Multivariate Non-Linear Fuzzy Regression: An Evolutionary Algorithm Approach. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 7(2): 83-98 (1999) - [j25]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Fuzzy Geometry Database. J. Adv. Comput. Intell. Intell. Informatics 3(3): 164-170 (1999) - [j24]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Solving Fuzzy Problems in Operations Research. J. Adv. Comput. Intell. Intell. Informatics 3(3): 171-176 (1999) - [c7]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Neural nets, fuzzy and crisp, in the design of an artificial agent. IJCNN 1999: 2414-2418 - [c6]Thomas Feuring, James J. Buckley, Yoichi Hayashi:
Fuzzy neural nets can solve the overfitting problem. IJCNN 1999: 4197-4201 - 1998
- [j23]James J. Buckley, Yoichi Hayashi:
Applications of fuzzy chaos to fuzzy simulation. Fuzzy Sets Syst. 99(2): 151-157 (1998) - [j22]James J. Buckley, William Siler:
A new t-norm. Fuzzy Sets Syst. 100(1-3): 283-290 (1998) - [j21]James J. Buckley:
Stability and the fuzzy controller. Fuzzy Sets Syst. 100(1-3): 377-379 (1998) - [c5]Thomas Feuring, James J. Buckley, Yoichi Hayashi:
Adjusting fuzzy weights in fuzzy neural nets. KES (2) 1998: 402-406 - [c4]Thomas Feuring, James J. Buckley, Yoichi Hayashi:
Verbal controlling. KES (2) 1998: 407-414 - 1997
- [j20]James J. Buckley:
Erratum: Universal fuzzy controllers. Autom. 33(9): 1771-1773 (1997) - [j19]James J. Buckley, Esfandiar Eslami:
Fuzzy plane geometry I: Points and lines. Fuzzy Sets Syst. 86(2): 179-187 (1997) - [j18]James J. Buckley, Esfandiar Eslami, Yoichi Hayashi:
Solving fuzzy equations using neural nets. Fuzzy Sets Syst. 86(3): 271-278 (1997) - [j17]James J. Buckley, Esfandiar Eslami:
Neural net solutions to fuzzy problems: The quadratic equation. Fuzzy Sets Syst. 86(3): 289-298 (1997) - [j16]James J. Buckley, Esfandiar Eslami:
Fuzzy plane geometry II: Circles and polygons. Fuzzy Sets Syst. 87(1): 79-85 (1997) - [j15]Esfandiar Eslami, James J. Buckley:
Inverse approximate reasoning. Fuzzy Sets Syst. 87(2): 155-158 (1997) - [j14]Esfandiar Eslami, James J. Buckley:
Inverse approximate reasoning II. Maximize entropy. Fuzzy Sets Syst. 87(3): 291-295 (1997) - [c3]James J. Buckley, Yoichi Hayashi:
Neural nets can be universal approximators for fuzzy functions. ICNN 1997: 2347-2350 - [c2]James J. Buckley, Yoichi Hayashi:
Neural net approximations to solutions of systems of fuzzy linear equations. ICNN 1997: 2355-2358 - 1996
- [j13]James J. Buckley:
Stability and the fuzzy controller. Fuzzy Sets Syst. 77(2): 167-173 (1996) - 1995
- [c1]Yoichi Hayashi, James J. Buckley:
Implementation of fuzzy max-min neural controller. ICNN 1995: 3113-3117 - 1994
- [j12]Yoichi Hayashi, James J. Buckley:
Approximations between fuzzy expert systems and neural networks. Int. J. Approx. Reason. 10(1): 63-73 (1994) - 1993
- [j11]Yoichi Hayashi, James J. Buckley, Ernest Czogala:
Fuzzy neural network with fuzzy signals and weights. Int. J. Intell. Syst. 8(4): 527-537 (1993) - 1992
- [j10]James J. Buckley:
Universal fuzzy controllers. Autom. 28(6): 1245-1248 (1992) - [j9]James J. Buckley:
Nonlinear fuzzy controller. Inf. Sci. 60(3): 261-274 (1992) - 1990
- [j8]Hao Ying, William Siler, James J. Buckley:
Fuzzy control theory: A nonlinear case. Autom. 26(3): 513-520 (1990) - [j7]James J. Buckley:
Belief updating in a fuzzy expert system. Int. J. Intell. Syst. 5(3): 265-275 (1990) - [j6]James J. Buckley, H. Ying:
Linear fuzzy controller: It is a linear nonfuzzy controller. Inf. Sci. 51(2): 183-192 (1990)
1980 – 1989
- 1989
- [j5]James J. Buckley, H. Ying:
Fuzzy controller theory: Limit theorems for linear fuzzy control rules. Autom. 25(3): 469-472 (1989) - 1988
- [j4]James J. Buckley, Douglas Tucker:
The utility of information and risk-taking fuzzy expert systems. Int. J. Intell. Syst. 3(2): 179-197 (1988) - [j3]James J. Buckley:
Managing Uncertainty in a Fuzzy Expert System. Int. J. Man Mach. Stud. 29(2): 129-148 (1988) - 1987
- [j2]James J. Buckley, Douglas Tucker:
Extended fuzzy relations: Application to fuzzy expert systems. Int. J. Approx. Reason. 1(2): 177-195 (1987) - [j1]William Siler, Douglas Tucker, James J. Buckley:
A Parallel Rule Firing Fuzzy Production System with Resolution of Memory Conflicts by Weak Fuzzy Monotonicity, Applied to the Classification of Multiple Objects Characterized by Multiple Uncertain Features. Int. J. Man Mach. Stud. 26(3): 321-332 (1987)
Coauthor Index
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