A fuzzy regression approach to a hierarchical evaluation model for oil palm fruit grading

@article{Arbaiy2010AFR,
  title={A fuzzy regression approach to a hierarchical evaluation model for oil palm fruit grading},
  author={Nureize Arbaiy and Junzo Watada},
  journal={Fuzzy Optimization and Decision Making},
  year={2010},
  volume={9},
  pages={105-122}
}
Measurement of quality is an important task in the evaluation of agricultural products and plays a pivotal role in agricultural production. The inspection process normally involves a visual examination according to the ripeness standards of crops, and this grading is subject to expert knowledge and interpretation. Therefore, the quality inspection process of fruits needs to be conducted properly to ensure that high-quality fruit bunches are selected for production. However, human subjective… 

Multi-criteria fuzzy regression model for evaluating oil palm grading

2B1-1 Abstract Measurement of quality is an important task in the evaluation of agricultural products. A higher quality of raw input material produces a higher quantity and quality of end products.

Fuzzy random regression based multi-attribute evaluation and its application to oil palm fruit grading

TLDR
A fuzzy random multi-attribute evaluation model with confidence intervals using expectations and variances of fuzzy random variables is proposed, applied to oil palm fruit grading, as the quality inspection process for fruits requires a method to ensure product quality.

Application of integrated AHP and TOPSIS techniques for determining the best Fresh Fruit Bunches (FFB)

TLDR
The result found that the number of detached fruitlets is the most important criteria to determine the FFB ripeness with 0.560 priority vector followed by color with0.219 priority vector compared to other criteria.

Multi-granular Evaluation Model Through Fuzzy Random Regression to Improve Information Granularity

TLDR
A fuzzy random regression is introduced to improve the extraction of weight of granules in a multi-granular decision making and will manage the multi- granular linguistic labels provided by evaluators in order to compute collective assessments about the product samples that will be used by the decision maker to determine final decision.

Fuzzy Regression for Weight Information Extraction in Fuzzy Environment ureize

TLDR
A fuzzy regression is introduced to improve the extraction of attribute’sweight in a multi-attribute decision making and is applied to milled rice grading, as the quality inspection process requires a method to ensure product quality.

Multi-granules evaluation model through fuzzy random regression analysis

  • N. Arbaiy
  • Computer Science
    2014 IEEE International Conference on Industrial Engineering and Engineering Management
  • 2014
TLDR
A fuzzy random based regression is introduced to improve the extraction of weight of granules in building a multi-granular decision making scheme and is able to organize decision or preference provided by evaluators in order to compute collective assessments about the product samples that will be used by the decision maker to determine final decision.

FUZZY RANDOM REGRESSION TO IMPROVE COEFFICIENT ESTIMATION FOR MALAYSIAN AGRICULTURAL INDUSTRY

TLDR
The implementation of the fuzzy random regression method shows the significant capabilities to estimate the coefficient value to further improve the model setting of production planning problem which retain the simultaneous uncertainties.

FUZZY RANDOM REGRESSION TO IMPROVE COEFFICIENT ESTIMATION FOR MALAYSIAN AGRICULTURAL INDUSTRY HAMIJAH BINTI MOHD RAHMAN A dissertation submitted in partial fulfillment of the requirement for the award of the Degree of Master of Computer Science (Soft Computing)

TLDR
The implementation of the fuzzy random regression method shows the significant capabilities to estimate the coefficient value to further improve the model setting of production planning problem which retain the simultaneous uncertainties.

Multi-Attribute Decision Making in Contractor Selection Under Hybrid Uncertainty

TLDR
A fuzzy random variable based multi-attribute decision scheme that enables us to solve problems within the bounds of hybrid uncertainty by using a fuzzy random regression model is proposed.

References

SHOWING 1-10 OF 45 REFERENCES

Oil palm fruit bunch grading system using red, green and blue digital number.

This research deals with the ripeness grading of oil palm fruit bunches. The current practice in the oil palm mills is to grade the oil palm bunches manually using human graders. This method is

Stepwise Discriminant Analysis for Colour Grading of Oil Palm Using Machine Vision System

The quality feature of an ordinary Elgaeis guineensis oil palm was quantified using a computer vision model in order to inspect and grade the oil palm fresh fruit bunches by an automated production

The interval-valued fuzzy TOPSIS method and experimental analysis

A fuzzy closeness approach to fuzzy multi-attribute decision making

  • D.-F. Li
  • Computer Science
    Fuzzy Optim. Decis. Mak.
  • 2007
TLDR
A new FC method for MADM under fuzzy environments is developed by introducing a multi-attribute ranking index based on the particular measure of closeness to the ideal solution, which is developed from the fuzzy weighted Minkowski distance used as an aggregating function in a compromise programming method.

Modeling subjective evaluation for fuzzy group multicriteria decision making

Multicriteria analysis with fuzzy pairwise comparison

  • Hepu Deng
  • Computer Science
    FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315)
  • 1999

Environmentally conscious design by using fuzzy multi-attribute decision-making

TLDR
This paper presents an innovative method, namely green fuzzy design analysis (GFDA), which involves simple and efficient procedures to evaluate product design alternatives based on environmental consideration using fuzzy logic.

On the extent analysis method for fuzzy AHP and its applications

Quality control in fruit processing

AbstractThe attainment of high-quality palm products at minimum cost demands that more emphasis be placed on the production side, i.e., the effort must be concentrated at the field and mill level.

THE OIL PALM AND ITS SUSTAINABILITY

TLDR
The paper puts together the evidence, firstly, that the oil palm can be used as a vehicle for rural poverty eradication in Malaysia and perhaps be use as a model for other countries with similar soils, climate and labour availability.