<p>Due to the significant economic and ecological value of forest land resources, they have received extensive attention in recent years. The level of forest productivity is the primary factor considered when developing and utilizing forest land resources. However, the assessment indicators for the productivity level of forest land are complex and diverse. In practical applications, by using multi-index assessment methods, more reasonable assessment results can be obtained. As a widely used assessment model, the Measurement Alternatives and Ranking according to Compromise Solution (MARCOS) method is proposed to solve the problem of ranking alternatives in multi-index assessment. Since the proposal of this method, many research results have emerged regarding its theory and application. Aiming at the shortcomings of the MARCOS method in the ranking effect of other options and the unreasonable change trend of its ideal alternative utility degree, in this study, the utility formulas for both the positive and negative ideal alternatives are improved, and the calculation formula of comprehensive utility degree is reconstructed. The revised MARCOS enhances the applicability and effectiveness of the original MARCOS method. We also compare and analyze the revised method with several multi-index assessment methods. The comparison results show that the revised method exhibits excellent consistency with other methods and has better decision flexibility and resolution. By assessing forest productivity, the applicability and validity of the revised MARCOS method are illustrated.</p>

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A revised MARCOS method for multi-index forest productivity assessment

  • Jian Lin,
  • Junzhe Zhang,
  • Peilin Weng

摘要

Due to the significant economic and ecological value of forest land resources, they have received extensive attention in recent years. The level of forest productivity is the primary factor considered when developing and utilizing forest land resources. However, the assessment indicators for the productivity level of forest land are complex and diverse. In practical applications, by using multi-index assessment methods, more reasonable assessment results can be obtained. As a widely used assessment model, the Measurement Alternatives and Ranking according to Compromise Solution (MARCOS) method is proposed to solve the problem of ranking alternatives in multi-index assessment. Since the proposal of this method, many research results have emerged regarding its theory and application. Aiming at the shortcomings of the MARCOS method in the ranking effect of other options and the unreasonable change trend of its ideal alternative utility degree, in this study, the utility formulas for both the positive and negative ideal alternatives are improved, and the calculation formula of comprehensive utility degree is reconstructed. The revised MARCOS enhances the applicability and effectiveness of the original MARCOS method. We also compare and analyze the revised method with several multi-index assessment methods. The comparison results show that the revised method exhibits excellent consistency with other methods and has better decision flexibility and resolution. By assessing forest productivity, the applicability and validity of the revised MARCOS method are illustrated.