Krynon Scientific Document // Ref. No. 8023-F

Separate criteria.
Decide with clarity.

"Krynon is designed to embody its etymological root—krinein. By separating products into their fundamental components and evaluating them systematically, it empowers users to make objective, data-driven decisions based on their exact priorities."

Engine StatusSorting Core Active
Active MatricesInherited Tree Loaded
Calculation ModeWeighted Average
FIG 01. THE CRITERION // EVALUATION FACET

Mathematical separation of independent parameter scores.

Taxonomy // Core Concepts

Concept 01 // Criterion

Criterion

The fundamental unit of judgment. Separates items into independent, measurable facets rather than merging everything into a single arbitrary score.

Concept 02 // Inheritance

Inheritance

Hierarchical structure. Criteria are inherited from parent categories down to specific products, allowing unified comparisons at any abstraction level.

Concept 03 // Weighting

Weighting

Subjective scaling. Users define the priority of each criterion in real-time, allowing the engine's sorting calculations to align with individual needs.

Concept 04 // Consensus

Consensus

The synthesized decision. Evaluates the multi-criteria scores using a weighted average model, outputting the optimal match value.

Engine Repositories // Open Source Components

REPOSITORY: HOLOBION/K-CORERUST

The core rust-based classification engine. Orchestrates sorting algorithms, computes weighted score normalization, and manages criteria registries.

v0.7.1100% COVERAGE
REPOSITORY: HOLOBION/K-UIDIOXUS

The frontend client interface. Implements the high-performance Swiss grid layout, interactive weight sliders, and criteria creation forms.

v0.7.0WASM HYDRATED
REPOSITORY: HOLOBION/K-DBPOSTGRES

The persistent database layer. Manages product schemas, relational category hierarchies, and criteria definitions using PostgreSQL.

v0.4.2ASYNC STYLED
Analytical Workspace // Criteria Filter

Execute Criteria-Based Sorting

Initialize the comparison workspace to compute weight matrices, evaluate product fitness scores, and discover the optimal choices.

© 2026 KRYNON. DEVELOPED BY THE HOLOBION ORGANISATION. ALL SYSTEMS INTEGRATED.