Information Classification Device Using Union of Sets and Individual Rules
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Solution Overview
Problem
Existing information classification methods fail to improve classification precision due to biases in personal perception, as they do not adequately account for differences in perception among individuals, leading to inconsistent classification criteria and reduced accuracy.
Innovation Solution
An information classification device and method that utilize a first determination unit with a union of sets rule and a second determination unit with individual rules, where the first rule is created based on collective determination by multiple people and each second rule corresponds to a specific person, allowing for recognition and reflection of personal biases in the classification process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional information classification methods are used, then classification processing can be performed, but classification precision deteriorates due to biases in personal perception and inconsistent classification criteria
Solution Approach 1:
The patent segments the classification process into two distinct determination units: a first determination unit that performs initial classification using a first rule, and a second determination unit that performs refined classification using multiple second rules corresponding to different people's perceptions. This segmentation allows each unit to handle different aspects of classification, thereby improving overall precision while maintaining consistency through the structured two-stage approach.
Solution Approach 2:
The patent applies local quality by creating specific second rules that correspond to different people's perceptions and applying them selectively in the second determination unit. Each second rule captures local perceptual characteristics of individual classifiers, allowing the system to account for personal biases while maintaining overall classification consistency through the framework of multiple specialized rules.
2Reliability
If multiple people perform classification to reduce bias, then classification robustness improves, but device complexity increases due to multiple determination units and rules
Solution Approach 1:
The patent divides the classification system into two functional segments: a first determination unit with a first rule for initial classification, and a second determination unit with multiple second rules for refined classification. This segmentation organizes the complexity into manageable, distinct components that can be independently developed and maintained, reducing the perceived device complexity while preserving robustness.
Solution Approach 2:
The first determination unit and first rule serve as a universal foundation that handles the core classification task for all inputs. The second determination unit with multiple second rules provides additional specialized functionality that can be selectively applied. This multi-functional structure allows the system to handle both general and specific classification needs without proportionally increasing complexity.
3Measurement precision
If classification rules are created based on collective determination by multiple people, then classification accuracy improves, but processing time increases due to multiple determination steps
Solution Approach 1:
The first determination unit performs preliminary classification using the first rule before the second determination unit applies the multiple second rules. This preliminary action filters and pre-processes the classification task, reducing the complexity of subsequent processing and allowing the system to achieve high accuracy without proportionally increasing processing time through the two-stage approach.
Solution Approach 2:
The system applies partial action by using the first determination unit for initial classification and selectively applying the second determination unit with multiple second rules only when needed for refined classification. This partial application of the more time-consuming second stage allows the system to achieve improved accuracy while minimizing the time loss associated with multiple determination steps.
Data Source
AI summary
An information classification device (1) is provided with an union of sets determination unit (10) which performs correct/incorrect determination regarding a content to be classified using a union of sets rule, and an individual determination unit (11) which applies a plurality of individual determination rules to the content to be classified which has been determined as correct, determines whether the content matches the condition, and performs correct/incorrect determination again regarding the content to be classified which has been determined as correct on the basis of the determination result of each individual determination rule. The union of sets determination rule is created using a result of correct/incorrect determination previously performed by two or more people with respect to a plurality of contents which are different from the contents to be classified, and also using feature amounts of respective different contents. Each individual determination rule is created for respective person using the aforementioned result of correct/incorrect determination and the feature amount.