Linear programming: methods and applications (5th ed.)
Linear programming: methods and applications (5th ed.)
Fuzzy Sets and Systems
Diagnostics of faulty states in complex physical systems using fuzzy relational equations
Approximate reasoning in intelligent systems, decision and control
Readings in uncertain reasoning
Readings in uncertain reasoning
Abductive inference models for diagnostic problem-solving
Abductive inference models for diagnostic problem-solving
Uncertainty and vagueness in knowledge based systems
Uncertainty and vagueness in knowledge based systems
Fuzzy relation equations and causal reasoning
Fuzzy Sets and Systems - Special issue: fuzzy relations, part 2
An application of intuitionistic fuzzy sets in medical diagnosis
Fuzzy Sets and Systems
Inference error minimisation: fuzzy modelling of ambiguous functions
Fuzzy Sets and Systems - Special issue on formal methods for fuzzy modeling and control
Expert Systems and Probabiistic Network Models
Expert Systems and Probabiistic Network Models
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Possibility Theory, Probability Theory and Multiple-Valued Logics: A Clarification
Annals of Mathematics and Artificial Intelligence
Possibilistic causality consistency problem based on asymmetrically-valued causal model
Fuzzy Sets and Systems - Possibility theory and fuzzy logic
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Computer aided fuzzy medical diagnosis
Information Sciences: an International Journal - Special issue: Medical expert systems
Diagnosis of the diseases: using a GA-fuzzy approach
Information Sciences: an International Journal - Special issue: Medical expert systems
A new hybrid case-based architecture for medical diagnosis
Information Sciences—Informatics and Computer Science: An International Journal
Diagnosis and Fault-Tolerant Control
Diagnosis and Fault-Tolerant Control
Fault diagnosis in discrete time hybrid systems - A case study
Information Sciences: an International Journal
On the combination and normalization of interval-valued belief structures
Information Sciences: an International Journal
Prediction-based diagnosis and loss prevention using qualitative multi-scale models
Information Sciences: an International Journal
Arithmetic operators in interval-valued fuzzy set theory
Information Sciences: an International Journal
Diagnosability of fuzzy discrete event systems
Information Sciences: an International Journal
Perspectives of fuzzy systems and control
Fuzzy Sets and Systems
Combining uncertainty and imprecision in models of medical diagnosis
Information Sciences: an International Journal
Fuzzy systems evaluation: The inference error approach
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fault detection and isolation based on fuzzy automata
Information Sciences: an International Journal
Information Sciences: an International Journal
A new algorithm for testing diagnosability of fuzzy discrete event systems
Information Sciences: an International Journal
Output feedback control of asynchronous sequential machines with disturbance inputs
Information Sciences: an International Journal
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This paper discusses a knowledge-base encoding methodology for diagnostic tasks, transforming such knowledge into constrained optimization problems. The methodology is based on a reinterpretation of the consistent causal reasoning paradigm [D. Dubois, H. Prade, Fuzzy relation equations and causal reasoning, Fuzzy Sets and Systems 45 (2) (1995) 119-134] as an equivalent problem of feasibility subject to equality and inequality constraints (in the binary case). Then, it is extended to the fuzzy case. Preferences under uncertain knowledge are incorporated by transforming the feasibility problem into an optimization one, which may be interpreted in possibilistic terms. The problem is solved by efficient, widely-known, linear and quadratic programming tools, which are able to cope with large-scale problems. Examples illustrating some of the concepts and possibilities of the proposed procedure, as well as a summary comparison with other approaches are also discussed.