Method and system for identification or verification for an object, a person, or their attributes
Generally, decisions are based on information. To be useful, information must be reliable. Basically, the concept of a Z-number relates to the issue of reliability of information. A Z-number, Z, has two components, Z=(A,B). The first component, A, is a restriction (constraint) on the values which a real-valued uncertain variable, X, is allowed to take. The second component, B, is a measure of reliability (certainty) of the first component. Typically, A and B are described in a natural language, for example: (about 45 minutes, very sure). Z-number has many applications, especially in the realms of economics, decision analysis, risk assessment, prediction, anticipation, rule-based characterization of imprecise functions and relations, and biomedicine. Different methods, applications, and systems are discussed. Other Fuzzy concepts are also discussed.
1. A method for determining a Z-valuation, said method comprising:
inputting one or more rules into a rules engine, wherein said rules engine is run by a processor device;
receiving one or more fact information by said rules engine;
setting up one or more protoforms in a first memory location or unit;
establishing one or more first relationships related to said one or more protoforms;
extracting a first attribute from said one or more first relationships;
filtering possible reciprocal relationships from a first database, wherein said possible reciprocal relationships are selected based on said first attribute;
determining a first reciprocal relationship based on said filtering step;
determining a first consequential attribute based on said first attribute;
determining one or more synonym attributes based on said first attribute, wherein said one or more synonym attributes reside on a second memory location or unit;
instantiating a first supplemental relationship based on said one or more synonym attributes, said first reciprocal relationship, or said first consequential attribute;
expanding one or more additional relationships by matching a first set of attributes to a first set of general rules from a knowledge base, stored on a second database;
determining a first Z-valuation as a value of an attribute for a first node;
wherein said first node is associated to a second node via one or more second relationships;
wherein a member of said one or more second relationships belongs to one of following: said one or more first relationships, said first supplemental relationship, said one or more additional relationships, or said first reciprocal relationship.
2. The method for determining a Z-valuation as recited in claim 1 , said method comprising:
instantiating a probability distribution.
3. The method for determining a Z-valuation as recited in claim 1 , said method comprising:
confirming an identity of a person.
4. The method for determining a Z-valuation as recited in claim 1 , said method comprising:
recognizing an identity of a person.
5. The method for determining a Z-valuation as recited in claim 1 , said method comprising:
confirming an identity of an object.
6. The method for determining a Z-valuation as recited in claim 1 , said method comprising:
recognizing an identity of an object.
7. The method for determining a Z-valuation as recited in claim 1 , said method comprising:
searching for an identity of an object.
8. The method for determining a Z-valuation as recited in claim 1 , said method comprising:
searching for an identity of a person.
9. The method for determining a Z-valuation as recited in claim 1 , said method comprising:
recognizing a characteristics of an object.
10. The method for determining a Z-valuation as recited in claim 1 , said method comprising:
recognizing a characteristics of a person.
11. The method for determining a Z-valuation as recited in claim 1 , said method comprising:
searching for a characteristics of an object.
12. The method for determining a Z-valuation as recited in claim 1 , said method comprising:
searching for a characteristics of a person.
13. The method for determining a Z-valuation as recited in claim 1 , said method comprising:
searching for a pattern.
14. The method for determining a Z-valuation as recited in claim 1 , said method comprising:
recognizing a pattern.
15. The method for determining a Z-valuation as recited in claim 1 , said method comprising:
confirming a pattern.
16. The method for determining a Z-valuation as recited in claim 1 , said method comprising:
searching for a feature.
17. The method for determining a Z-valuation as recited in claim 1 , said method comprising:
recognizing a feature.
18. The method for determining a Z-valuation as recited in claim 1 , said method comprising:
confirming a feature.
19. A method for determining a Z-valuation, said method comprising:
inputting one or more rules into a rules engine, wherein said rules engine is run by a processor device;
receiving one or more fact information by said rules engine;
setting up one or more protoforms in a first memory location or unit;
establishing one or more first relationships related to said one or more protoforms;
extracting a first attribute from said one or more first relationships;
filtering possible reciprocal relationships from a first database, wherein said possible reciprocal relationships are selected based on said first attribute;
determining a first reciprocal relationship based on said filtering step;
determining a first consequential attribute based on said first attribute;
determining one or more synonym attributes based on said first attribute, wherein said one or more synonym attributes reside on a second memory location or unit;
instantiating a first supplemental relationship based on said one or more synonym attributes, said first reciprocal relationship, or said first consequential attribute;
expanding one or more additional relationships by matching a first set of attributes to a first set of general rules from a knowledge base, stored on a second database;
determining a first reliability valuation as a subset of z-valuation for a value of an attribute for a first node;
wherein said first node is associated to a second node via one or more second relationships;
wherein a member of said one or more second relationships belongs to one of following: said one or more first relationships, said first supplemental relationship, said one or more additional relationships, or said first reciprocal relationship.
20. A method for determining a Z-valuation, said method comprising:
inputting one or more rules into a rules engine, wherein said rules engine is run by a processor device;
receiving one or more fact information by said rules engine;
setting up one or more protoforms in a first memory location or unit;
establishing one or more first relationships related to said one or more protoforms;
extracting a first attribute from said one or more first relationships;
filtering possible reciprocal relationships from a first database, wherein said possible reciprocal relationships are selected based on said first attribute;
determining a first reciprocal relationship based on said filtering step;
determining a first consequential attribute based on said first attribute;
determining one or more synonym attributes based on said first attribute, wherein said one or more synonym attributes reside on a second memory location or unit;
instantiating a first supplemental relationship based on said one or more synonym attributes, said first reciprocal relationship, or said first consequential attribute;
expanding one or more additional relationships by matching a first set of attributes to a first set of general rules from a knowledge base, stored on a second database;
determining a first credibility valuation as a subset of z-valuation for a value of an attribute for a first node;
wherein said first node is associated to a second node via one or more second relationships;
wherein a member of said one or more second relationships belongs to one of following: said one or more first relationships, said first supplemental relationship, said one or more additional relationships, or said first reciprocal relationship.