Friday, October 2, 2026

The Analytic Hierarchy Process (AHP): Step 1 to the Perfect Decision Matrix for Better Decision Making

AHP Pairwise Comparison Matrix

Pairwise Comparison Matrix (AHP)

Compare criteria head-to-head to calculate mathematically precise weights.

1 Define Criteria


2 Compare Priority

Drag the slider towards the criterion that is more important. 1 = Equal, 9 = Extreme Importance.


3 Calculated Weights

Excel file downloaded successfully!
AHP Pairwise Comparison Workflow Step 1 of Decision Matrix Setup: Calculating Precise Weights 1 Define Criteria Cost × Features Ease of Use + Add Criterion 2 Compare Priority Cost is 3x more important than Features Cost Features Saaty 1–9 Scale Reference 1 = Equal Importance | 3 = Moderate | 5 = Strong 7 = Very Strong | 9 = Extreme Importance 3 Output Weights ✓ Consistent Logic (CR ≤ 10%) Cost: 5.4 / 10 Features: 2.9 / 10 Ease of Use: 1.7 / 10 📊 Download Excel (AHP Weights) NEXT STEP (DECISION MATRIX): Import the generated AHP_Decision_Matrix_Weights.xlsx into your Decision Matrix (Step 2) to rank options.

Saturday, September 26, 2026

Decision Matrix Webapp to help you make Better Decisions

Decision Matrix Evaluator

Decision Matrix

Score options from 1-10 based on weighted criteria.

Results Overview

Visual Comparison

How to Use the Decision Matrix Follow these 4 simple steps to evaluate your choices objectively 1 Define Setup List your criteria and options. Set a priority weight (1-10) for each criterion. 2 Rate Options Score every option against the criteria on a simple scale of 1 to 10. 3 View Results Scroll down to see the app instantly calculate weighted totals and render the graph. WINNER 4 Make Decision The optimal choice is automatically highlighted in Emerald Green!

Tuesday, September 22, 2026

Digital Image Analysis using R-Project-based EBImage, randomForest, DT, and bslib - A Web app (R-Project-Shiny-based)

This digital image analysis has been developed using R-Project (4.6.1), RStudio 2026.08.1 Build 195. It is made using packages, including shiny, EBImage, randomForest, DT, and bslib. NOTE: Try to remain SLOW with the change in metrics using sliders as it may take large time to process the image. If it takes long, allow it to settle and start working after sometime. KEEP THE IMAGE BELOW 500 x 500 pixels.
Powered by Allaire, J., Sievert, C., Dervieux, C., Xie, Y., McPherson, J., Allen, A., Wickham, H., Atkins, A., & Hyndman, R. (2024). bslib: Custom Bootstrap 'Sass' Themes for 'shiny' and 'rmarkdown' (R package version 0.8.0) [Computer software]. https://CRAN.R-project.org/package=bslib Breiman, L., Cutler, A., Liaw, A., & Wiener, M. (2022). randomForest: Breiman and Cutler's Random Forests for Classification and Regression (R package version 4.7-1.1) [Computer software]. https://CRAN.R-project.org/package=randomForest Chang, W., Cheng, J., Allaire, J., Sievert, C., Schloerke, B., Xie, Y., Allen, A., McPherson, J., Dipert, A., & Borges, B. (2024). shiny: Web Application Framework for R (R package version 1.9.1) [Computer software]. https://CRAN.R-project.org/package=shiny Pau, G., Fuchs, F., Sklyar, O., Boutros, M., & Huber, W. (2010). EBImage—an R package for image processing with applications to cellular phenotypes. Bioinformatics, 26(7), 979–981. https://doi.org/10.1093/bioinformatics/btq046 Xie, Y., Cheng, J., & Tan, X. (2024). DT: A Wrapper of the JavaScript Library 'DataTables' (R package version 0.33) [Computer software]. https://CRAN.R-project.org/package=DT Terms of Use and Disclaimer: This tool is for educational purposes only. The author assumes no liability for inaccuracies or decisions made based on this output. No data is stored on our servers. The Image Analysis Toolkit provided on this site is an open-source tool intended for exploratory image analysis. Users are encouraged to verify all results with primary software and experts before publication. The owner of JeePakistan.blogspot.com is not responsible for any research outcomes derived from this tool. ===========================
  • NOTE: Uploaded on 22/09/2026
  • Tuesday, July 28, 2026

    Stroop Memory Test Challenge

    Interactive Stroop Test - Measure Your Cognitive Control

    Stroop Test Challenge

    The Stroop effect is a classic cognitive psychology phenomenon where the time it takes to name the color of a word is longer when the color of the text conflicts with the meaning of the word. For example, the word "RED" printed in blue ink requires more mental effort to identify correctly than a word printed in a matching color.

    Test your cognitive control and reaction time. When you see a color word on the screen, ignore what the word says and click the button that matches the COLOR of the text itself. Good luck!

    Save results to device

    Select your preferred speed above, then click Start to begin. Answer 10 questions!

    👇 Click "Start Test" to begin
    Question: 0/10
    Score: 0
    2.0s
    Click the color button that matches the TEXT COLOR, not the word!
    BLUE

    Friday, July 24, 2026

    A mini game for Crisis Command, and leadership and decision-making trainer

    Crisis Command — Leadership Simulator
    Leadership & Decision-Making Trainer

    Crisis Command

    A scenario-based simulator for practicing crisis response, conflict resolution and leadership judgment under time pressure. Every decision trades off between public trust, resources and team morale — exactly like the real thing.

    How to play

    1. Pick a role and difficulty below, then hit "Begin Simulation."
    2. Crises arrive one at a time. Read the situation report and choose one of the response options before the countdown ring closes.
    3. Each choice shifts three meters — Public Trust, Resources, Team Morale — shown live on the dashboard. There's rarely a free option: strengthening one often costs another.
    4. Letting the timer run out counts as indecision and always costs you — in a real crisis, no decision is still a decision.
    5. Survive all rounds with your meters above zero to complete the simulation. Your Leadership Score and decision log are tallied below the game as you play.
    Standing by—

    Awaiting deployment

    Configure your role and difficulty above, then begin the simulation to receive your first situation report.

    Performance Statistics

    Leadership Score
    0
    Decisions Made
    0
    Avg Response Time
    0.0s
    Crises Resolved
    0 / 0
    Sound Decisions
    0%
    Timeouts
    0
    --:--Decision log will appear here once the simulation begins.