James J. Buckley

ORCID: 0000-0003-2264-4096
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About
Contact & Profiles
Research Areas
  • Fuzzy Logic and Control Systems
  • Fuzzy Systems and Optimization
  • Multi-Criteria Decision Making
  • Neural Networks and Applications
  • Optimization and Mathematical Programming
  • AI-based Problem Solving and Planning
  • Rough Sets and Fuzzy Logic
  • American Constitutional Law and Politics
  • Fault Detection and Control Systems
  • Numerical Methods and Algorithms
  • Data Management and Algorithms
  • Functional Equations Stability Results
  • Religion and Society Interactions
  • Plant and animal studies
  • Advanced Data Processing Techniques
  • Catholicism and Religious Studies
  • Bayesian Modeling and Causal Inference
  • Advanced Algebra and Logic
  • Supply Chain and Inventory Management
  • Advanced Queuing Theory Analysis
  • Advanced Statistical Methods and Models
  • Statistical Mechanics and Entropy
  • Optimization and Variational Analysis
  • Reformation and Early Modern Christianity
  • Species Distribution and Climate Change

ETH Zurich
2017-2024

Loyola University Maryland
2003-2024

University of Plymouth
2022-2024

Memorial Sloan Kettering Cancer Center
2024

Victoria and Albert Museum
2024

Great Lakes Science Center
2022

Département Santé Animale
2019

University of Glasgow
2011-2019

University of Bristol
2010-2014

Loyola University Chicago
2011

10.1016/0165-0114(85)90090-9 article EN Fuzzy Sets and Systems 1985-12-01

10.1016/0165-0114(94)90297-6 article EN Fuzzy Sets and Systems 1994-08-01

10.1016/0165-0114(85)90013-2 article EN Fuzzy Sets and Systems 1985-02-01

10.1016/s0165-0114(99)00155-4 article EN Fuzzy Sets and Systems 2001-06-01

10.1016/s0165-0114(98)00141-9 article EN Fuzzy Sets and Systems 2000-02-01

10.1016/0165-0114(87)90128-x article EN Fuzzy Sets and Systems 1987-03-01

10.1016/0165-0114(93)90401-3 article EN Fuzzy Sets and Systems 1993-02-01

10.1016/0005-1098(92)90068-q article EN Automatica 1992-11-01

10.1016/s0377-2217(99)00405-1 article EN European Journal of Operational Research 2001-02-01

10.1016/0165-0114(91)90019-m article EN Fuzzy Sets and Systems 1991-09-01

10.1016/0165-0114(89)90122-x article EN Fuzzy Sets and Systems 1989-12-01

We discuss the direct fuzzification of a standard layered, feedforward, neural network where signals and weights are fuzzy sets. A fuzzified delta rule is presented for learning. Three applications given including expert systems, hierarchical analysis, systems modeling. © 1993 John Wiley & Sons, Inc.

10.1002/int.4550080405 article EN International Journal of Intelligent Systems 1993-01-01

10.1016/0165-0114(90)90099-r article EN Fuzzy Sets and Systems 1990-10-01

10.1016/0165-0114(88)90013-9 article EN Fuzzy Sets and Systems 1988-04-01

10.1016/0165-0114(90)90204-j article EN Fuzzy Sets and Systems 1990-12-01

Recent data have demonstrated that in locally advanced rectal cancer (LARC), a total neoadjuvant therapy (TNT) approach improves compliance with chemotherapy and increases rates of tumor response compared to chemoradiation (CRT) alone. They further indicate the optimal sequencing TNT involves consolidation (rather than induction) optimize complete rates. Data, largely from retrospective studies, also shown patients clinical (cCR) after may be managed safely watch wait (WW) instead preemptive...

10.1186/s12885-024-12529-7 article EN cc-by BMC Cancer 2024-07-26

10.1016/s0165-0114(98)00323-6 article EN Fuzzy Sets and Systems 1999-07-01
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