Dataset for "Predicting the Finished Fabric Width and Areal Density (Grams per Square Meter) of Commercially Produced Plain Single Jersey (100% Cotton) Knitted Fabric using Fuzzy Inference System (FIS)"

This dataset contains the data used in the research titled “Predicting the Finished Fabric Width and Areal Density (Grams per Square Meter) of Commercially Produced Plain Single Jersey (100% Cotton) Knitted Fabric using Fuzzy Inference System (FIS)”. The data was collected from mass production in an industrial environment and consists of key input parameters and corresponding fabric characteristics.

The dataset includes the following files:
1) Raw_Data.xlsx – The original dataset containing more than 30,000 observations collected from commercial production of 100% cotton plain single jersey knitted fabric. Each record includes Stitch Length (SL), Yarn Count (YC), Machine Diameter (D), Finished Fabric Width (FW), and Areal Density (GSM).

2) Training_Data.xlsx – A subset of the raw data used for building and training the fuzzy inference system (FIS) model. This dataset includes input parameters (SL, YC, D) and corresponding outputs (FW, GSM). The Subset was created using the "random" library of python.

3) Testing_Data.xlsx – Data used to test and validate the accuracy of the trained fuzzy model. This file contains unseen data points (not included in training) with the same input and output parameters. The raw data was separated into Training Data and Testing Data using python "random" library.

4) 55_Developed_Fabric_Data.xlsx – Real-world experimental observations collected from controlled production runs, specifically designed for model verification and reliability assessment.

Purpose of the Dataset
The dataset supports research on predicting critical fabric properties (Finished Width and Areal Density) using fuzzy logic-based modeling. It enables further studies, replication of results, and development of predictive tools in the textile manufacturing domain.

Key Variables:
SL: Stitch Length (for 10Loops in mm)
YC: Yarn Fineness (Ne)
D: Machine Diameter (inch)

FW: Finished Fabric Width (inch)
GSM: Areal Density (GSM)

Data Format: Excel (.xlsx)

Number of Records:
Raw Data: ~30,000 observations
Training Data: Random subsets of the raw data (~24,000)
Testing Data: Random subsets of the raw data (~7,000)
Experimental Data: Independent validation dataset (55 Dataset)