Methods and systems for applications for Z-numbers
View Patent ↗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 of recollecting and restoring an original subject using Z-valuation parameter, said method comprising:
receiving a first subject by an input module;
determining one or more association subjects from a first database related to said first subject by a recognition module;
assigning first link strength values to each one of said one or more association subjects, by an analyzer module;
wherein said analyzer module comprises a processor device or module;
for a first association subject from said one or more association subjects, determining a second association subject;
assigning a second link strength value between said first association subject and said second association subject, by said analyzer module;
storing said first association subject in a first memory location or unit;
storing said second association subject in a second memory location or unit;
creating a first pointer from said first memory location or unit to said second memory location or unit;
establishing a chain of memory locations or units and pointers, until a weak link is detected in said chain of memory locations or units and pointers;
wherein said weak link is a third link strength value, between two consecutive memory locations or units in said chain of memory locations or units and pointers;
wherein said weak link is a Z-valuation parameter;
wherein said weak link corresponds to a last memory location or unit;
starting from a third memory location or unit, traversing said chain of memory locations or units and pointers backward, based on link strength values in said chain of memory locations or units and pointers, to recollect said first subject;
wherein said third memory location or unit is a part of said chain of memory locations or units and pointers;
storing said recollected first subject in a recollecting memory location or unit.
2. The method of recollecting and restoring an original subject using Z-valuation parameter as recited in claim 1 , said method comprising:
receiving a precisiated proposition associated with a protoform.
3. The method of recollecting and restoring an original subject using Z-valuation parameter as recited in claim 1 , said method comprising:
assigning a first test score to a candidate probability distribution.
4. The method of recollecting and restoring an original subject using Z-valuation parameter as recited in claim 1 , said method comprising:
searching for a relationship between people.
5. The method of recollecting and restoring an original subject using Z-valuation parameter as recited in claim 1 , said method comprising:
confirming a relationship between people.
6. The method of recollecting and restoring an original subject using Z-valuation parameter as recited in claim 1 , said method comprising:
searching for a relationship between concepts.
7. The method of recollecting and restoring an original subject using Z-valuation parameter as recited in claim 1 , said method comprising:
confirming a relationship between concepts.
8. The method of recollecting and restoring an original subject using Z-valuation parameter as recited in claim 1 , said method comprising:
searching for a pattern.
9. The method of recollecting and restoring an original subject using Z-valuation parameter as recited in claim 1 , said method comprising:
searching for a person.
10. The method of recollecting and restoring an original subject using Z-valuation parameter as recited in claim 1 , said method comprising:
searching for an object.
11. The method of recollecting and restoring an original subject using Z-valuation parameter as recited in claim 1 , said method comprising:
searching for a concept.
12. The method of recollecting and restoring an original subject using Z-valuation parameter as recited in claim 1 , said method comprising:
searching for a relationship between objects.
13. The method of recollecting and restoring an original subject using Z-valuation parameter as recited in claim 1 , said method comprising:
confirming a relationship between objects.
14. The method of recollecting and restoring an original subject using Z-valuation parameter as recited in claim 1 , said method comprising:
confirming a pattern.
15. The method of recollecting and restoring an original subject using Z-valuation parameter as recited in claim 1 , said method comprising:
searching for a feature.
16. The method of recollecting and restoring an original subject using Z-valuation parameter as recited in claim 1 , said method comprising:
confirming a feature.
17. The method of recollecting and restoring an original subject using Z-valuation parameter as recited in claim 1 , said method comprising:
establishing a second chain of memory locations or units and pointers.
18. The method of recollecting and restoring an original subject using Z-valuation parameter as recited in claim 1 , said method comprising:
creating a second pointer from said first memory location or unit.
19. A method of recollecting and restoring an original subject using Z-valuation parameter, said method comprising:
receiving a first subject by an input module;
determining one or more association subjects from a first database related to said first subject by a recognition module;
assigning first link strength values to each one of said one or more association subjects, by an analyzer module;
wherein said analyzer module comprises a processor device or module;
for a first association subject from said one or more association subjects, determining a second association subject;
assigning a second link strength value between said first association subject and said second association subject, by said analyzer module;
storing said first association subject in a first memory location or unit;
storing said second association subject in a second memory location or unit;
creating a first pointer from said first memory location or unit to said second memory location or unit;
establishing a chain of memory locations or units and pointers, until a weak link is detected in said chain of memory locations or units and pointers;
wherein said weak link is a third link strength value, between two consecutive memory locations or units in said chain of memory locations or units and pointers;
wherein said weak link is a reliability value parameter;
wherein said weak link corresponds to a last memory location or unit;
starting from a third memory location or unit, traversing said chain of memory locations or units and pointers backward, based on link strength values in said chain of memory locations or units and pointers, to recollect said first subject;
wherein said third memory location or unit is a part of said chain of memory locations or units and pointers;
storing said recollected first subject in a recollecting memory location or unit.
20. A method of recollecting and restoring an original subject using Z-valuation parameter, said method comprising:
receiving a first subject by an input module;
determining one or more association subjects from a first database related to said first subject by a recognition module;
assigning first link strength values to each one of said one or more association subjects, by an analyzer module;
wherein said analyzer module comprises a processor device or module;
for a first association subject from said one or more association subjects, determining a second association subject;
assigning a second link strength value between said first association subject and said second association subject, by said analyzer module;
storing said first association subject in a first memory location or unit;
storing said second association subject in a second memory location or unit;
creating a first pointer from said first memory location or unit to said second memory location or unit;
establishing a chain of memory locations or units and pointers, until a weak link is detected in said chain of memory locations or units and pointers;
wherein said weak link is a third link strength value, between two consecutive memory locations or units in said chain of memory locations or units and pointers;
wherein said weak link is a credibility value parameter;
wherein said weak link corresponds to a last memory location or unit;
starting from a third memory location or unit, traversing said chain of memory locations or units and pointers backward, based on link strength values in said chain of memory locations or units and pointers, to recollect said first subject;
wherein said third memory location or unit is a part of said chain of memory locations or units and pointers;
storing said recollected first subject in a recollecting memory location or unit.