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[Utility & Helpers](/categories/utility) 4. / 5. wead/ahpd ActivePhp-ext[Utility & Helpers](/categories/utility) wead/ahpd ========= A modern, data-driven implementation of the Analytic Hierarchy Process (AHP) algorithm for objective, multi-criteria decision-making, replacing subjective pairwise judgments with real-world quantitative inputs. 1.0.3(6mo ago)662proprietaryHTMLPHP >=8.1 Since Oct 20Pushed 6mo agoCompare [ Source](https://github.com/weadtech/ahpd_lib)[ Packagist](https://packagist.org/packages/wead/ahpd)[ Docs](https://github.com/weadtech/ahpd_lib)[ RSS](/packages/wead-ahpd/feed)WikiDiscussions main Synced today READMEChangelog (3)DependenciesVersions (4)Used By (0) AHPd — Data-Driven Multi-Criteria Decision System ================================================= [](#ahpd--data-driven-multi-criteria-decision-system) [![Usage Rights](https://camo.githubusercontent.com/598952a8ed24060b6cbec9551c29c499ecb0e72ae4a627d1e58fff1aae410e80/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f55736167652d46726565253230666f72253230506572736f6e616c253230253236253230436f6d6d65726369616c2d627269676874677265656e)](https://camo.githubusercontent.com/598952a8ed24060b6cbec9551c29c499ecb0e72ae4a627d1e58fff1aae410e80/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f55736167652d46726565253230666f72253230506572736f6e616c253230253236253230436f6d6d65726369616c2d627269676874677265656e)[![Platform](https://camo.githubusercontent.com/ce52eef3346a37bf1e7846297fa0db15219f09837f956cd53620cc24fa0871c7/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f506c6174666f726d2d57696e646f77732532302537432532304c696e75782d626c7565)](https://camo.githubusercontent.com/ce52eef3346a37bf1e7846297fa0db15219f09837f956cd53620cc24fa0871c7/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f506c6174666f726d2d57696e646f77732532302537432532304c696e75782d626c7565)[![PHP API](https://camo.githubusercontent.com/81c61ea8ebf1b171c46f0b03c3f51891ededaab771be03db3214f962109e9181/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f5048502d537570706f7274253230666f7225323054532532302532362532304e54532d626c7565)](https://camo.githubusercontent.com/81c61ea8ebf1b171c46f0b03c3f51891ededaab771be03db3214f962109e9181/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f5048502d537570706f7274253230666f7225323054532532302532362532304e54532d626c7565)[![PHP Version](https://camo.githubusercontent.com/8777f9860b5e22f70cf49064b7ca2b38beaf8028faca74221106b56b5c741748/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f5048502d2533453d382e312d627269676874677265656e)](https://camo.githubusercontent.com/8777f9860b5e22f70cf49064b7ca2b38beaf8028faca74221106b56b5c741748/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f5048502d2533453d382e312d627269676874677265656e)[![Status](https://camo.githubusercontent.com/9e968d9471725151bf93b46bcd079913754b36f39f5205ac6b0c1e18328adb7b/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f5374617475732d537461626c652d627269676874677265656e)](https://camo.githubusercontent.com/9e968d9471725151bf93b46bcd079913754b36f39f5205ac6b0c1e18328adb7b/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f5374617475732d537461626c652d627269676874677265656e)[![AHPd Core](https://camo.githubusercontent.com/e235633c279bcc885a86b354f753658c5ddf9092437515ecc3eb274a7c77188a/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f41485064253230436f72652d302e312e332d707572706c65)](https://camo.githubusercontent.com/e235633c279bcc885a86b354f753658c5ddf9092437515ecc3eb274a7c77188a/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f41485064253230436f72652d302e312e332d707572706c65) **AHPd** is a **100% objective, multi-criteria decision-making system**, representing a **modern, data-driven evolution** of the classic *Analytic Hierarchy Process (AHP)* method. Unlike traditional AHP, AHPd eliminates subjective judgment. It uses **real, measurable data** to generate business decisions that are consistently **auditable, mathematical, and justifiable**. 🎯 Strategic Advantage: Bias-Free Decisions ------------------------------------------ [](#-strategic-advantage-bias-free-decisions) In complex and highly regulated environments, **subjectivity** is the biggest risk. AHPd was built to eliminate this risk. The AHPd system provides a quantitative framework for comparing alternatives—be it products, projects, suppliers, or strategies—based on their quantitative attributes (price, performance, quality, resource consumption, etc.). Key BenefitValue for Decision Makers**100% Objective Decisions**Criteria weights are mathematically derived from **real-world data**, removing human bias and politics from complex choices. **Risk Mitigation** and guaranteed *compliance*.**Full Explainability**Every result is detailed with the **percentage contribution** of each criterion and attribute. Allows for **Investment Justification** and instant result auditing.**High Consistency & Reproducibility**No manual subjectivity. The same data always yields the same, fully **justifiable**, and **unquestionable** result.**High Performance (C/Rust Core)**Implemented with a highly optimized C/Rust core to process large volumes of data quickly. **Accelerates Time-to-Decision** in real-time systems.🧠 How AHPd Works: Simple Process, Auditable Result -------------------------------------------------- [](#-how-ahpd-works-simple-process-auditable-result) AHPd automatically transforms raw data into strategic insights **without the need for data pre-processing or normalization**. 1. **Define Preferences (Minimum Input):** Specify the criteria and indicate whether you want to **maximize** or **minimize** each one (e.g., "Maximize Quality," "Minimize Price"). 2. **Provide Raw Data:** Input the quantitative data for all options being compared. **Data can be passed exactly as it exists in your system.** 3. **AHPd Automatic Calculation:** - The system analyzes the **statistical spread** of values across all options. - **Automatically assigns the weight of importance** to each criterion based on this spread. - Determines the **relative performance (priority)** of each alternative. 4. **Final Ranking:** The output is a **clear, auditable percentage ranking**, showing **which alternative is best and why**. ### 📊 Intuitive Example [](#-intuitive-example) Consider a device purchase decision. The user only needs to indicate whether a lower "price" is better or a larger "battery" is better. OptionPrice US$ (Minimize)Storage GB (Maximize)Memory GB (Maximize)Camera Mpx (Maximize)Battery mAh (Maximize)**Phone A**94941286484323**Phone B**41392568504500**Phone C**44292568504300**Phone D**18851286645065**➡️ AHPd Ranking Result:** - **Phone D** — **33.6%** (Winner) - **Phone B** — 25.38% - **Phone C** — 26.1% - **Phone A** — 14.93% The screenshot below intuitively shows the results, allowing you to see **precisely how much each feature (criterion)** contributed to the final ranking score. **This visually validates the weights calculated by AHPd**. [![./php-extension/example/print-chart.png](./php-extension/example/print-chart.png)](./php-extension/example/print-chart.png) > 💡 **Explanation:** **Phone D** (33.6% final score) won because it was the **lowest-priced alternative**. AHPd calculated that the **'price US$'** criterion had the **greatest statistical disparity** among all candidates, assigning it a massive weight of **46.0%** in the decision model. This resulted in Price having a **33.3% contribution** to Phone D's total score, outweighing the contribution of any other single criterion for all other alternatives. **Verbose results:** ``` { "contribution": { "alternatives_contribution": { "by_criteria": { "Phone A": { "battery mAh": 25.27140468399798, "camera Mpx": 24.073235745226988, "memory GB": 22.7835981160184, "price US$": 10.151185142297878, "storage GB": 17.720576312458753 }, "Phone B": { "battery mAh": 18.725026772638852, "camera Mpx": 17.849621957062656, "memory GB": 21.623542027984474, "price US$": 16.57434354299879, "storage GB": 25.227465699315214 }, "Phone C": { "battery mAh": 18.24259984226682, "camera Mpx": 18.198574261252137, "memory GB": 22.046272819345443, "price US$": 15.791901454565918, "storage GB": 25.720651622569683 }, "Phone D": { "battery mAh": 19.309583049401244, "camera Mpx": 20.932567729107106, "memory GB": 14.85838512914299, "price US$": 33.34294232523744, "storage GB": 11.556521767111215 } }, "total_percentage": { "Phone A": 18.810524412740325, "Phone B": 26.42622428319317, "Phone C": 25.91950921187671, "Phone D": 28.843742092189796 } }, "criteria_weights": { "battery mAh": 0.05517554629857757, "camera Mpx": 0.09811746760930982, "memory GB": 0.11601983189243667, "price US$": 0.4599742131173236, "storage GB": 0.27071294108235233 } }, "rank": { "Phone A": 0.14922568130663832, "Phone B": 0.260912125126531, "Phone C": 0.25370960371891654, "Phone D": 0.336152589847914 } } ``` ### Detailed Analysis [](#detailed-analysis) AHPd assigned the following weights of importance to the criteria, highlighting the focus on Price: CriterionAHPd Importance WeightInterpretation**price US$** (Minimize)**45.99%**The largest variation among phones. This is the single decisive factor.**storage GB** (Maximize)**27.07%**Second-largest data spread among the phones.**memory GB** (Maximize)**11.60%**Relatively low variation among phones.**camera Mpx** (Maximize)**9.81%**Medium variation among the data.**battery mAh** (Maximize)**5.52%**The smallest data spread. This criterion barely influenced the decision.**Conclusion:** AHPd objectively determined that the **vast price difference** among the candidates was the most relevant attribute for the final decision, given the distribution of the input data. > *(The image visually demonstrates the percentage contribution of each criterion to the final ranking score, **validating the weights calculated by AHPd**.)* 🧾 Practical Use Cases (Where AHPd Generates Value) -------------------------------------------------- [](#-practical-use-cases-where-ahpd-generates-value) AreaTypical ApplicationStrategic Outcome**IT & Engineering**Selecting *cloud* architectures, choosing software/hardware vendors, prioritizing *sprints*.**Reduced Deployment Costs** and increased system efficiency based on real performance data.**Finance**Comparing investments based on return, risk, liquidity, and sustainability.Automated **Portfolio Optimization** and risk alignment.**Operations & HR**Choosing equipment, route optimization, or evaluating candidates/suppliers.**Measurable Consistency** in selection processes and reduced operational *overhead*.**Product & Marketing**Prioritizing features in *roadmaps* or comparative analysis of competitor products.**Data-Driven Roadmaps** and clear competitive advantage.🚀 Integration and Performance ----------------------------- [](#-integration-and-performance) AHPd is designed to be platform-agnostic and offer maximum performance, allowing the **integration of real-time decision intelligence** into your critical systems (BI, ERPs, recommendation systems). TypeDescriptionLink**PHP Native Extension**Native C/Rust implementation for **maximum performance** within PHP systems.🔗 [View PHP Documentation](./php-extension/README.md)**REST API**JSON-compatible web service for immediate integration with **any** programming language or BI tool.🔗 [Online Service](https://ahpbi.wead.tech/api-rest)**CLI Application**Command-line tool for direct use in automated pipelines and scripts.🔗 [AHPd CLI](https://github.com/weadtech/ahpd_cli_public)**GUI Application**Desktop application for end-user analysis and reporting.*(Planned)*📚 AHPd vs. Traditional AHP: The Data-Driven Evolution ----------------------------------------------------- [](#-ahpd-vs-traditional-ahp-the-data-driven-evolution) This comparison highlights the key differences that make AHPd the ideal choice for automated and auditable systems, in contrast to the manual approach of classical AHP. FeatureAHPd (Data-Driven Evolution)Traditional AHP (Classic Method)**Input Source****Real, Quantitative Data** (e.g., price, speed, capacity).**Subjective Judgments** (Expert opinions, verbal comparisons).**Criterion Weighting****Automatic.** Mathematically derived from the data's statistical dispersion.**Manual.** Derived from subjective **pairwise comparisons** of importance.**Objectivity****Fully Objective.** Consistent, unquestionable, and reproducible results.**Subjective/Semi-Objective.** Depends on the consistency and bias of human judges.**Primary Goal**Multi-criteria **Optimization** and **Auditable Ranking** based on performance.Multi-criteria **Prioritization** based on perceived importance.🧬 Licensing and Intellectual Property ------------------------------------- [](#-licensing-and-intellectual-property) The **use** and **distribution** of the AHPd system are **free** for both personal and commercial purposes. Compiled binaries, extensions, and libraries may be integrated into third-party products or services without additional licensing fees. However, the high-performance computational core and underlying source code remain the **exclusive intellectual property of Wead Technology®**, ensuring integrity and continuous innovation. ### Required Attribution [](#required-attribution) The use of AHPd requires **mandatory attribution** to Wead Technology® in your documentation, "About" section, or any licensing notices related to the product that integrates it. ### Enterprise Services [](#enterprise-services) Enterprise-grade services — including **dedicated technical support**, **OEM integration**, **private cloud APIs**, and **performance optimization** — are available for organizations seeking maximum scalability, reliability, and expert assistance. For partnerships, large-scale deployments, or OEM licensing, contact Wead Technology® to discuss collaboration opportunities. ### Health Score 36 — LowBetter than 79% of packages Maintenance69 Regular maintenance activity Popularity13 Limited adoption so far Community6 Small or concentrated contributor base Maturity46 Maturing project, gaining track record Bus Factor1 Top contributor holds 100% of commits — single point of failure How is this calculated?**Maintenance (25%)** — Last commit recency, latest release date, and issue-to-star ratio. Uses a 2-year decay window. **Popularity (30%)** — Total and monthly downloads, GitHub stars, and forks. Logarithmic scaling prevents top-heavy scores. **Community (15%)** — Contributors, dependents, forks, watchers, and maintainers. Measures real ecosystem engagement. **Maturity (30%)** — Project age, version count, PHP version support, and release stability. ### Release Activity Cadence Every ~38 days Total 3 Last Release 180d ago ### Community Maintainers ![](https://avatars.githubusercontent.com/u/3782118?v=4)[Adriano Maciel](/maintainers/adrianowead)[@adrianowead](https://github.com/adrianowead) --- Top Contributors [![adrianowead](https://avatars.githubusercontent.com/u/3782118?v=4)](https://github.com/adrianowead "adrianowead (28 commits)") --- Tags data-drivenahpahdpahp-data-driven ### Embed Badge ![Health badge](/badges/wead-ahpd/health.svg) ``` [![Health](https://phpackages.com/badges/wead-ahpd/health.svg)](https://phpackages.com/packages/wead-ahpd) ``` ### Alternatives [phayes/geophp GeoPHP is a open-source native PHP library for doing geometry operations. It is written entirely in PHP and can therefore run on shared hosts. 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