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1
A New Method for Representing Linguistic Quantifications by Random Sets with Applications to Tracking and Data Fusion
In: DTIC (2002)
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2
Algebraic Representations of Linguistic and Numerical Modifications of Probability Statements and Inferences Based on a Product Space Construction.
In: DTIC AND NTIS (1996)
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3
A Theory of Conditional Information For Probabilistic Inference in Intelligent Systems: II. Product Space Approach
In: Information sciences. - New York, NY : Elsevier Science Inc. 76 (1994) 1-2, 13-42
OLC Linguistik
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4
A New Characterization of Fuzzy Logic Operators Producing Homomorphic-Like Relations with One-Point Coverages of Random Sets.
In: DTIC AND NTIS (1994)
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5
A Theory of Conditional Information for Probabilistic Inference in Intelligent Systems: III. Mathematical Appendix
In: Information sciences. - New York, NY : Elsevier Science Inc. 75 (1993) 3, 253
OLC Linguistik
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6
New Results on the Compatibility of the Standard Conditional Likelihood Approach with Product Space Conditional Event Algebra
In: DTIC AND NTIS (1992)
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7
Admissibility of Possibility Functions and Other Non-Probability Functions in Lindley's Extension of the Definetti-Savage Uncertainty Game
In: DTIC AND NTIS (1992)
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8
The Role of Conditional Event Algebra in the Modeling of C3 Systems
In: DTIC AND NTIS (1992)
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9
A Revised Approach to Combining Linguistic and Probabilistic Information in Correlation
In: DTIC AND NTIS (1992)
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10
A Formal Theory of C3 and Data Fusion
In: DTIC AND NTIS (1991)
Abstract: This chapter treats C-3 (Command Control Communication)processes from a formal theory viewpoint. The approach is microscopic in nature, using a time- slice model as opposed, e.g., to the outcome path approach of Petri nets and their generalizations. The usual SHOR paradigm plays the central role in the structuring of nodes, while knowledge based information also plays a role. These intranodal relations as well as intranodal relations in the form of signals and communications through medium noise are combined into a single large scale formal model. In addition, uncertainty in the form of non-stochastic information, such as through linguistic sources, is taken into the data fusion aspect. The basic model consists of axioms representing the various conditional relations among C-3 SHOR paradigm variables, such as input signals, detection states, manpower, supply levels, damage levels, hypotheses of situations and decisions and reactions/responses. The choice of the actual functional distributional relations among these variables relative to the axiom constraints can be interpreted as a C-3 design move with a zero sum game theoretic context. The basic loss function here consists of some pre-chosen moe/mop of the state of health of the friendly and adversary C-3 systems. In turn, the health of each side is determined from an averaging procedure over all node states of the individual node state distributions in conditional form following SHOR paradigm signal processing cycles. These node state distributions are obtainable as out puts of the basic model described above.
Keyword: *COMMAND CONTROL COMMUNICATIONS; *INFORMATION THEORY; Command; Control and Communications Systems; CYCLES; DAMAGE ASSESSMENT; DATA PROCESSING; DISTRIBUTION; FUNCTIONS; GAME THEORY; HEALTH; HYPOTHESES; INPUT; INTELLIGENCE; LEVEL(QUANTITY); LINGUISTICS; LOSSES; MANPOWER; MATHEMATICAL LOGIC; MODELS; NODES; PATHS; PE62936N; RESPONSE; SCALE MODELS; SIGNAL PROCESSING; SIGNALS; SOURCES; STOCHASTIC PROCESSES; SUPPLIES; THEORY; UNCERTAINTY; WUDN30036
URL: http://www.dtic.mil/docs/citations/ADA240419
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA240419
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11
PACT (Possibilistic Approach to Correlation and Tracking): An Approach to Combining Linguistic-Based and Probabilistic Information in Correlation and Tracking.
In: DTIC AND NTIS (1986)
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12
Combination of Evidence in C3 Systems.
In: DTIC AND NTIS (1985)
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13
An Approach to the Target Data Association Problem Using Subjective and Statistical Information
In: DTIC AND NTIS (1984)
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14
Modeling Natural Language Information for Use in the Combination of Evidence Problem.
In: DTIC AND NTIS (1984)
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15
Applications of Fuzzy Set Theory to Parameter Estimation and Tracking
In: DTIC AND NTIS (1983)
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16
Uncertainty Modeling and Possibilistic Approach to Parameter Estimation.
In: DTIC AND NTIS (1982)
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