Application of a Genetic-Fuzzy FMEA to Rainfed Lowland Rice Production in Sarawak: Environmental, Health, and Safety Perspectives

  title={Application of a Genetic-Fuzzy FMEA to Rainfed Lowland Rice Production in Sarawak: Environmental, Health, and Safety Perspectives},
  author={Anisia Jati Sang and Kai Meng Tay and Chee Peng Lim and Saeid Nahavandi},
  journal={IEEE Access},
Rainfed lowland rice is the most popular choice for rice cultivation in Sarawak, Borneo. In general, rice production in Sarawak consists of seven phases, namely, preparing land, establishing crop, transplanting, managing crop, harvesting, post-harvesting, and milling. Most farmers in Sarawak depend on indigenous knowledge and experience for rice cultivation. In this paper, an improved fuzzy failure mode and effect analysis (FMEA) with genetic algorithm-based design of fuzzy membership functions… 

Intelligent Computational Techniques for Crops Yield Prediction and Fertilizer Management over Big Data Environment

  • S. AlexA. Kanavalli
  • International Journal of Innovative Technology and Exploring Engineering
  • 2019
Agriculture is one of the biggest fields to improve the economic rate of the country. Crop yield prediction is a new emerging idea in agriculture. There are several challenges of crops yield

Agricultural Risk Management Using Fuzzy TOPSIS Analytical Hierarchy Process (AHP) and Failure Mode and Effects Analysis (FMEA)

A fuzzy technique for order preference by similarity to ideal solution (TOPSIS) integrated with a fuzzy analytical hierarchy process (AHP) was used to address the limitations of the traditional FMEA and the capability of this Hybrid-FMEA is confirmed.

Applying a new systematic fuzzy FMEA technique for risk management in light steel frame systems

The results revealed that the risks in the construction and operation phases of LSF system are higher than those in the design phase and involving safety as a project object in the risk management process could eventuate acceptable results.

An intuitionistic fuzzy cloud model-based risk assessment method of failure modes considering hybrid weight information

A new FMEA strategy for assessing and ranking failures’ risks is developed by combining the merits of the intuitionistic fuzzy set theory and the cloud model theory in manipulating uncertain information and two combination weighting methods are developed to determine the synthetic weights of experts and risk factors.

A Novel Failure Mode and Effect Analysis Approach Integrating Probabilistic Linguistic Term Sets and Fuzzy Petri Nets

This paper presents a new FMEA model, which integrates probabilistic linguistic term sets (PLTSs) and fuzzy Petri nets (FPNs) for the risk assessment and prioritization of failure modes.

A New Geometric Mean FMEA Method Based on Information Quality

A new geometric mean FMEA method based on information quality based on fuzzy evaluation distribution form is presented, which constructs a more flexible and reasonable expression of experts’ opinions in decision-making.

Deng Entropy Weighted Risk Priority Number Model for Failure Mode and Effects Analysis

Deng entropy is utilized to construct the exponential weight of each risk factor as well as an expert’s relative importance on an FMEA item in a state-of-the-art way and the strategy of assigning weight for each expert is flexible and compatible to the real decision-making situation.

A Critical Comparison of Alternative Risk Priority Numbers in Failure Modes, Effects, and Criticality Analysis

This paper takes into account only the alternative RPN, which proposes a powerful solution without increasing the computational complexity and remaining coherent to the classical idea included in the international standard IEC 60812.

A New Monotone Fuzzy Rule Relabeling Framework With Application to Failure Mode and Effect Analysis Methodology

The results are analyzed and discussed, which positively demonstrate the effectiveness of the proposed MFRR framework in formulating a monotone TSK-FIS model for undertaking FMEA problems.



A neural network integrated approach for rice crop monitoring

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Meeting the challenges of global rice production

Rice is the second most widely grown cereal crop and the staple food for more than half the world's population. More than 3 billion people consume more than 100 kg of rice per year. Rice is

The Last Swiddens of Sarawak, Malaysia

Swidden cultivation was observed to be under pressure but still persisting in many areas in Sarawak, Malaysia around 2000–2003. Since then rapid development of smallholder oil palm and rubber,

The System of Rice Intensification (SRI): a challenge for science, and an opportunity for farmer empowerment towards sustainable agriculture

Increasing demand for cereals produced from limited natural resources stimulated the Green Revolution in grain crops like wheat and rice. But the gap between potential and actual production

Coping with Risk in Agriculture

The popular first edition of this standard text on risk analysis and management in agriculture has been almost wholly revised. The second edition includes much new material. There is a revised