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Chapters
Pages Download ReadPart 1 Mutually-inversistic logical calculus
15-96Chapter 1 Fundaments of predicate calculus
16-31Chapter 2 Human cognitive processes and basic principles ofmutually-inversistic logic
32-47Chapter 3 First-level single quasi-predicate calculus
48-58Chapter 4 Second-level single quasi-predicate calculus
59-67Chapter 5 First-level multiple predicate calculus
68-83Chapter 6 Second-level multiple predicate calculus
84-92Chapter 7 Mutually-inversistic propositional calculus
93-96Part 2 Mutually-inversistic set theory
97-136Chapter 8 Fundamentals of mutually-inversistic set theory
98-114Part 3 Mutually-inversistic proof theory vs. mutually-inversistic model theory
137-156Chapter 11 Proof theory vs. model theory
138-143Chapter 12 Mutually-inversistic proof theory
144-152Chapter 13 Mutually-inversistic model theory
153-156Part 4 Mutually-inversistic recursion theory
157-168Chapter 14 Mutually-inversistic recursion theory
158-168Part 5 Mutually-inversistic granular computing
169-198Chapter 15 Mutually-inversistic fuzzy logic based granularcomputing
170-185Chapter 16 Mutually-inversistic rough set based granularcomputing
186-198Part 7 Mutually-inversistic analytic geometry
205-214Chapter 18 Mutually-inversistic analytic geometry
206-214Part 8 Mutually-inversistic mathematical analysis
215-254Chapter 19 Double-sided discrete calculus
216-224Chapter 20 Single-sided discrete calculus
225-240Part 9 Mutually-inversistic abstract algebra
255-306Chapter 23 Main-auxiliary algebras
282-306Part 11 Applications of decomposition
337-412Chapter 25 Inference rule systems vs. mutually-inversisticautomated decomposition systems
338-343Chapter 26 Mutually-inversistic relational databases
344-351Chapter 27 Mutually-inversistic planning and scheduling
352-360Chapter 28 Mutually-Inversistic Semantic Network
361-375Chapter 29 Mutually-inversistic expert systems
376-381Chapter 31 Applications of First-Level Hypothetical Inference
395-407Chapter 32 Axiomatic systems brought into mutually-inversisticautomated decomposition systems
408-412Part 12 Applications of implicit inductive compositions
413-426Chapter 33 Applications of implicit inductive compositions
414-426Part 13 Applications of explicit inductive composition
427-454Chapter 34 Mutually-inversistic machine learning
428-437Chapter 35 Multiple connection operators association rule mining
438-446Chapter 36 Mutually-inversistic program refinement
447-454Part 14 Applications of mutually-inversistic mathematics
455-494Chapter 37 Applications of universal matrix
456-462Chapter 38 Mutually-inversistic many-valued computer
463-472Chapter 39 Applications of mutually-inversistic mathematicalanalysis
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