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Selection of suitable adsorbent for the removal of Cr(VI) by using objective based multiple attribute decision making
Saroj Sundar Baral1, Kavitha Mohanasundaram2, Surendran Ganesan3
1BITS Pilani, K K Birla Goa Campus, Goa, India.
This study introduces a simplified expert system using fuzzy logic to select the best adsorbent for removing hexavalent chromium (Cr(VI)). The system aids in rational adsorbent selection for effective Cr(VI) treatment.
Area of Science:
- Environmental Science
- Chemical Engineering
- Materials Science
Background:
- Hexavalent chromium (Cr(VI)) poses significant environmental and health risks.
- Selecting the optimal adsorbent for Cr(VI) removal is complex due to numerous factors and material options.
- A systematic approach is needed for efficient and rational adsorbent selection.
Purpose of the Study:
- To develop a systematic and simplified expert system for selecting adsorbents to treat Cr(VI).
- To utilize fuzzy logic and Multiple Attribute Decision Making (MADM) for adsorbent selection.
- To provide a rational framework for choosing among various Cr(VI) removal materials.
Main Methods:
- Fuzzy logic was employed to facilitate the selection of appropriate adsorbents.
- Multiple Attribute Decision Making (MADM) was used to determine relative weighting values for sorbents.
- A preference index was calculated using subjective and objective weights, with normalized parameter values based on their impact on Cr(VI) removal and uptake capacity.
Main Results:
- The study successfully applied fuzzy logic and MADM to evaluate and rank adsorbents for Cr(VI) removal.
- Relative weighting values and preference indices were calculated, providing a quantitative basis for selection.
- The normalized values highlighted the influence of different parameters on adsorbent performance.
Conclusions:
- The developed expert system offers a simplified and organized method for selecting Cr(VI) adsorbents.
- The fuzzy logic and MADM approach provides a rational basis for decision-making in water treatment.
- The study lays the groundwork for further enhancements to the adsorbent selection system.
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