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Related Experiment Video

Updated: Mar 8, 2026

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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A revised MARCOS method for multi-index forest productivity assessment.

Jian Lin1,2, Junzhe Zhang3,4, Peilin Weng3

  • 1College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, China. linjian36@163.com.

Environmental Monitoring and Assessment
|March 6, 2026
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Summary

This study enhances the Measurement Alternatives and Ranking according to Compromise Solution (MARCOS) method for multi-index assessment. The revised MARCOS method improves forest productivity assessment with better decision flexibility and resolution.

Keywords:
Correlation coefficientDecision-makingForest productivityMulti-index systemRanking alternatives

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Area of Science:

  • Forestry Science
  • Environmental Management
  • Decision Science

Background:

  • Forest land resources possess significant economic and ecological value.
  • Assessing forest productivity involves complex, diverse indicators, necessitating multi-index approaches.
  • The Measurement Alternatives and Ranking according to Compromise Solution (MARCOS) method is a widely used multi-index assessment tool.

Purpose of the Study:

  • To address shortcomings in the original MARCOS method regarding ranking and ideal alternative utility.
  • To improve the utility formulas for positive and negative ideal alternatives.
  • To reconstruct the comprehensive utility degree calculation for enhanced applicability.

Main Methods:

  • Improved utility formulas for ideal alternatives.
  • Reconstructed comprehensive utility degree calculation.
  • Comparative analysis of the revised MARCOS with other multi-index assessment methods.

Main Results:

  • The revised MARCOS method demonstrates enhanced applicability and effectiveness.
  • The revised method shows excellent consistency with existing assessment approaches.
  • The revised MARCOS method offers improved decision flexibility and resolution.

Conclusions:

  • The revised MARCOS method is a valid and applicable tool for multi-index assessment.
  • The enhanced method provides more reliable results for complex assessments like forest productivity.
  • This research contributes to more effective forest resource management and utilization strategies.