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International Journal of General Systems Volume 25, 1997 - Issue 4
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Original Articles

POSSIBILITY THEORY II: CONDITIONAL POSSIBILITY

GERT DE COOMAN Universiteit Gent, Vakgroep Elektrische Energietechniek Technologiepark 9, B-9052, Zwijnaarde, Belgium. E-mail: E-mail: [email protected]
Pages 325-351 | Received 29 Jan 1996, Published online: 30 Mar 2007

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Jose Enrique Pons, Nicolás Marín, Olga Pons, Christophe Billiet & Guy de Tré. (2012) A Relational Model for the Possibilistic Valid-time Approach. International Journal of Computational Intelligence Systems 5:6, pages 1068-1088.
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LUISM. DE CAMPOS & JUANF. HUETE. (2001) MEASUREMENT OF POSSIBILITY DISTRIBUTIONS. International Journal of General Systems 30:3, pages 309-346.
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CLIFF JOSLYN. (1997) MEASUREMENT OF POSSIBILISTIC HISTOGRAMS FROM INTERVAL DATA. International Journal of General Systems 26:1-2, pages 9-33.
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Articles from other publishers (56)

Yu. P. Pyt’ev, A. I. Chulichkov, O. V. Falomkina & D. A. Balakin. (2024) Data Analysis and Interpretation: Methods of Computer-Aided Measuring Transducer Theory, Morphological Analysis, Possibility Theory, and Subjective Mathematical Modeling. Pattern Recognition and Image Analysis 33:4, pages 1515-1563.
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Giulianella Coletti, Davide Petturiti & Barbara Vantaggi. (2023) Consequences of the minimum specificity principle on conditioning and on independence in possibility theory. International Journal of Approximate Reasoning 160, pages 108972.
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David R. Bickel. (2023) Fisher's disjunction as the principle vindicating p-values, confidence intervals, and their generalizations: A frequentist semantics for possibility theory. International Journal of Approximate Reasoning 154, pages 27-37.
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David R. Bickel. (2022) Coherent checking and updating of Bayesian models without specifying the model space: A decision-theoretic semantics for possibility theory. International Journal of Approximate Reasoning 142, pages 81-93.
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Dominik Hose & Michael Hanss. (2021) A universal approach to imprecise probabilities in possibility theory. International Journal of Approximate Reasoning 133, pages 133-158.
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Tommaso Flaminio, Lluis Godo & Sara Ugolini. 2021. Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Symbolic and Quantitative Approaches to Reasoning with Uncertainty 543 556 .
Dominik Hose & Michael Hanss. (2020) On data-based estimation of possibility distributions. Fuzzy Sets and Systems 399, pages 77-94.
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Enrique Miranda & Marco Zaffalon. (2020) Compatibility, desirability, and the running intersection property. Artificial Intelligence 283, pages 103274.
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Markus Mäck & Michael Hanss. (2019) Efficient Possibilistic Uncertainty Analysis of a Car Crash Scenario Using a Multifidelity Approach. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering 5:4.
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Dominik Hose & Michael Hanss. (2019) Possibilistic calculus as a conservative counterpart to probabilistic calculus. Mechanical Systems and Signal Processing 133, pages 106290.
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Davide Petturiti & Barbara Vantaggi. (2019) Conditional submodular Choquet expected values and conditional coherent risk measures. International Journal of Approximate Reasoning 113, pages 14-38.
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A.V. Zubyuk. (2019) A new approach to specificity in possibility theory: Decision-making point of view. Fuzzy Sets and Systems 364, pages 76-95.
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Wei Jiang, Alessandro Ferrero, Simona Salicone & Qi Zhang. (2017) A Possible Way to Perform Recursive Bayesian Estimate in the Possibility Domain. IEEE Transactions on Instrumentation and Measurement 66:12, pages 3218-3227.
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Robin De Mol, Antoon Bronselaer & Guy De Tré. (2017) Evaluating flexible criteria on uncertain data. Fuzzy Sets and Systems 328, pages 122-140.
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Neha Baranwal, G. C. Nandi & Avinash Kumar Singh. (2017) Real‐Time Gesture–Based Communication Using Possibility Theory–Based Hidden Markov Model. Computational Intelligence 33:4, pages 843-862.
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Giulianella Coletti, Davide Petturiti & Barbara Vantaggi. (2017) Fuzzy memberships as likelihood functions in a possibilistic framework. International Journal of Approximate Reasoning 88, pages 547-566.
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Yu. P. Pyt’ev. (2017) Mathematical modeling of randomness and fuzziness phenomena in scientific studies. II. Applications. Moscow University Physics Bulletin 72:2, pages 113-127.
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Yu. P. Pyt’ev. (2017) Mathematical modeling of randomness and fuzziness phenomena in scientific studies: I. Mathematical and empirical foundations. Moscow University Physics Bulletin 72:1, pages 1-15.
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Giulianella Coletti, Davide Petturiti & Barbara Vantaggi. 2017. Advances in Artificial Intelligence: From Theory to Practice. Advances in Artificial Intelligence: From Theory to Practice 75 84 .
Giulianella Coletti, Davide Petturiti & Barbara Vantaggi. (2016) When upper conditional probabilities are conditional possibility measures. Fuzzy Sets and Systems 304, pages 45-64.
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Hanen Raissi, Hanene Guesmi & Adel M. Alimi. (2016) Effectiveness of conditional possibilities on numerical information fusion. Effectiveness of conditional possibilities on numerical information fusion.
Giulianella Coletti, Davide Petturiti & Barbara Vantaggi. (2016) Conditional belief functions as lower envelopes of conditional probabilities in a finite setting. Information Sciences 339, pages 64-84.
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Giulianella Coletti & Davide Petturiti. (2016) Finitely maxitive T-conditional possibility theory: Coherence and extension. International Journal of Approximate Reasoning 71, pages 64-88.
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Giulianella Coletti & Davide Petturiti. (2016) Finitely maxitive conditional possibilities, Bayesian-like inference, disintegrability and conglomerability. Fuzzy Sets and Systems 284, pages 31-55.
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Giulianella Coletti, Romano Scozzafava & Barbara Vantaggi. (2015) Possibilistic and Probabilistic Logic under Coherence: Default Reasoning and System P. Mathematica Slovaca 65:4, pages 863-890.
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Alessandro Ferrero, Marco Prioli & Simona Salicone. (2015) Conditional Random-Fuzzy Variables Representing Measurement Results. IEEE Transactions on Instrumentation and Measurement 64:5, pages 1170-1178.
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Enrique Miranda & Ignacio Montes. (2015) Coherent updating of non-additive measures. International Journal of Approximate Reasoning 56, pages 159-177.
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Giuseppe Busanello & Davide Petturiti. (2014) DAG representation of asymmetric independence models arising in coherent conditional possibility theory. Fuzzy Sets and Systems 250, pages 1-24.
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. 2014. Introduction to Imprecise Probabilities. Introduction to Imprecise Probabilities 338 373 .
Giulianella Coletti, Davide Petturiti & Barbara Vantaggi. 2014. Information Processing and Management of Uncertainty in Knowledge-Based Systems. Information Processing and Management of Uncertainty in Knowledge-Based Systems 446 455 .
Jiřina Vejnarová. (2013) On interpretation of T-product extensions of possibility distributions. Fuzzy Sets and Systems 232, pages 3-17.
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ANTOON BRONSELAER, JOSÉ ENRIQUE PONS, GUY DE TRÉ & OLGA PONS. (2013) POSSIBILISTIC EVALUATION OF SETS. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 21:03, pages 325-346.
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Alessandro Ferrero, Marco Prioli, Simona Salicone & Barbara Vantaggi. (2013) A 2-D Metrology-Sound Probability–Possibility Transformation. IEEE Transactions on Instrumentation and Measurement 62:5, pages 982-990.
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Giulianella Coletti, Davide Petturiti & Barbara Vantaggi. 2013. Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Symbolic and Quantitative Approaches to Reasoning with Uncertainty 133 144 .
Selen Cremaschi, Gene E. Kouba & Hariprasad J. Subramani. (2012) Characterization of Confidence in Multiphase Flow Predictions. Energy & Fuels 26:7, pages 4034-4045.
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M. Baioletti, G. Coletti, D. Petturiti & B. Vantaggi. (2011) Inferential models and relevant algorithms in a possibilistic framework. International Journal of Approximate Reasoning 52:5, pages 580-598.
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Marco Baioletti & Davide Petturiti. (2011) Algorithms for possibility assessments: Coherence and extension. Fuzzy Sets and Systems 169:1, pages 1-25.
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Salem Benferhat. (2010) Interventions and belief change in possibilistic graphical models. Artificial Intelligence 174:2, pages 177-189.
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Giulianella Coletti & Barbara Vantaggi. 2010. Preferences and Decisions. Preferences and Decisions 69 84 .
Giulianella Coletti & Barbara Vantaggi. (2009) T-conditional possibilities: Coherence and inference. Fuzzy Sets and Systems 160:3, pages 306-324.
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Antonio Sala. (2008) Encoding fuzzy possibilistic diagnostics as a constrained optimization problem. Information Sciences 178:22, pages 4246-4263.
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Antoon Bronselaer & Guy De Tre. (2008) Impact of [0,1]-valued weights and weighted aggregation operators for possibilistic truth values. Impact of [0,1]-valued weights and weighted aggregation operators for possibilistic truth values.
Giulianella Coletti & Barbara Vantaggi. (2006) Possibility theory: Conditional independence. Fuzzy Sets and Systems 157:11, pages 1491-1513.
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Laura Ferracuti & Barbara Vantaggi. (2006) Independence and conditional possibility for strictly monotone triangular norms. International Journal of Intelligent Systems 21:3, pages 299-323.
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Gert de Cooman. (2005) A behavioural model for vague probability assessments. Fuzzy Sets and Systems 154:3, pages 305-358.
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NAHLA BEN AMOR & SALEM BENFERHAT. (2011) GRAPHOID PROPERTIES OF QUALITATIVE POSSIBILISTIC INDEPENDENCE RELATIONS. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 13:01, pages 59-96.
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Giulianella Coletti & Barbara Vantaggi. 2005. Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Symbolic and Quantitative Approaches to Reasoning with Uncertainty 872 883 .
Salem Benferhat & Souhila Kaci. (2003) Logical representation and fusion of prioritized information based on guaranteed possibility measures: Application to the distance-based merging of classical bases. Artificial Intelligence 148:1-2, pages 291-333.
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Radim Jiroušek, Jiřina Vejnarová & Jozef Gemeľa. 2002. Belief Functions in Business Decisions. Belief Functions in Business Decisions 252 280 .
Bernadette Bouchon-Meunier, Giulianella Coletti & Christophe Marsala. 2002. Technologies for Constructing Intelligent Systems 2. Technologies for Constructing Intelligent Systems 2 59 71 .
H.J. Janssen, G. de Cooman & E.E. Kerre. (2001) Ample fields as a basis for possibilistic processes. Fuzzy Sets and Systems 120:3, pages 445-458.
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Gert de Cooman, Guangquan Zhang & Etienne E. Kerre. (2001) Possibility measures and possibility integrals defined on a complete lattice. Fuzzy Sets and Systems 120:3, pages 459-467.
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G. de Cooman & D. Aeyels. (2000) A random set description of a possibility measure and its natural extension. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 30:2, pages 124-130.
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Bernard De Baets, Elena Tsiporkova & Radko Mesiar. (1999) Conditioning in possibility theory with strict order norms. Fuzzy Sets and Systems 106:2, pages 221-229.
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Hugo Janssen, Gert de Cooman & Etienne E. Kerre. (1999) A Daniell-Kolmogorov theorem for supremum preserving upper probabilities. Fuzzy Sets and Systems 102:3, pages 429-444.
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Bernard De Baets, Gert de Cooman & Etienne Kerre. (1998) The construction of possibility measures from samples on %plane1D;4AF;-semi-partitions. Information Sciences 106:1-2, pages 3-24.
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