Weighted Property Evaluation System for Objective Comparison
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Solution Overview
Problem
Existing property search tools fail to provide an objective method for users to evaluate and compare properties, leading to subjective decision-making and inefficiencies in finding suitable residential or rental properties due to the large variation in property characteristics and numerous criteria.
Innovation Solution
A system that allows users to rank or score properties based on customizable criteria, using algorithms to weight feature importance and generate a percentage score, enabling more informed decisions through a user-friendly interface on mobile devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually evaluate properties based on multiple criteria, then decision-making becomes more comprehensive, but the time required and uncertainty increase
Solution Approach 1:
The patent replaces manual mechanical evaluation processes with an automated computational system. The system uses algorithms to automatically calculate property scores based on multiple weighted criteria, substituting human manual assessment with automated digital computation. This resolves the contradiction by providing comprehensive evaluation accuracy through systematic criterion assessment while eliminating the time consumption associated with manual review of each property against multiple criteria.
Solution Approach 2:
The patent creates a virtual model of property evaluation through digital scoring systems. Instead of physically visiting and manually assessing each property, the system generates digital scores that replicate the evaluation process. This allows comprehensive comparison of multiple properties without the time investment required for physical assessments, resolving the contradiction between thorough evaluation and time efficiency.
2Reliability
If users consider many different criteria for property evaluation, then the evaluation becomes more objective, but the complexity of the decision-making process increases
Solution Approach 1:
The patent segments the complex evaluation process into distinct weighted criteria components. Each property feature (location, price, size, amenities) is separated into individual assessable units with assigned weights. This segmentation allows the system to maintain high evaluation objectivity by systematically considering multiple criteria while reducing perceived complexity through structured organization of evaluation elements.
Solution Approach 2:
The patent transforms multiple qualitative property features into quantifiable parameters with numerical scores and weights. By converting diverse criteria into standardized numerical values, the system achieves objective evaluation across multiple dimensions while simplifying the decision-making interface. Users interact with simplified score outputs rather than navigating complex multi-criteria analysis directly.
3Ease of operation
If existing search tools provide detailed filtering options, then users can narrow down property choices, but a large number of results are still returned requiring extensive review
Solution Approach 1:
The patent performs preliminary scoring and ranking of properties before users need to review them. The system pre-calculates scores based on user-defined criteria and weights, presenting properties in optimized order. This preliminary action eliminates the need for users to manually review large result sets, as the system has already performed the filtering and ranking work, resolving the contradiction between search efficiency and review time.
Solution Approach 2:
The patent introduces an automated scoring system as an intermediary between property listings and user decision-making. Rather than users directly reviewing property details against multiple criteria, the scoring system acts as a mediator that pre-evaluates properties and presents them in score-based order. This intermediary layer maintains ease of operation through simple score comparison while eliminating extensive review time.
Data Source
AI summary
A system for evaluating a particular subject of a class, comprising a feature list comprising a plurality of features corresponding to a characteristics or qualities of the subject to be evaluated, the ordering of the features on the feature list being determined by a user, the order of features on the feature list being associated with a weighting or ranking position value for that feature, each feature having a score field in which the user enters a score associated with the feature, the system calculating a global score for the subject being calculated by multiplying the score associated with the feature with the weighting/ranking associated with the feature, over a selected number of features.