CN-121981396-A - Multi-dimensional comprehensive index self-adaptive evaluation method oriented to grassland human-living environment

CN121981396ACN 121981396 ACN121981396 ACN 121981396ACN-121981396-A

Abstract

The invention discloses a multi-dimensional comprehensive index self-adaptive evaluation method for a grassland human living environment, which relates to the technical field of ecological environment monitoring and comprises the following steps of S1, constructing multi-dimensional characterization logic of the grassland human living environment, S2, performing evaluation index self-adaptive mapping by using a multi-dimensional function description space, S3, performing cross-dimensional association consistency check by using a function domain index set, S4, performing multi-dimensional function intensity expression by using a computable index subset, S5, performing multi-dimensional collaborative expression by using a multi-dimensional comprehensive index, and correspondingly mapping the multi-dimensional function description space and a candidate index complete set by setting the index set.

Inventors

WANG ZHIQIANG
HAN JIAXU
XU GUOQIANG

Assignees

内蒙古工业大学

Dates

Publication Date: 20260505
Application Date: 20260127

Claims (10)

1. The multi-dimensional comprehensive index self-adaptive evaluation method for the grassland human-living environment is characterized by comprising the following steps of: s1, constructing a grassland human-living environment multidimensional characterization logic; S2, performing evaluation index adaptive mapping by using a multidimensional function description space to obtain a function domain index set; s3, performing cross-dimension association consistency check by using the functional domain index set to obtain a computable index subset; s4, carrying out multidimensional functional intensity expression by using the computable index subset to obtain a multidimensional comprehensive index; s5, carrying out multidimensional collaborative expression by using the multidimensional comprehensive index to obtain the grassland human living environment multidimensional comprehensive index.
2. The method for adaptive evaluation of a multi-dimensional composite index for a grassland human-living environment according to claim 1, wherein the step S1 is to define a multi-dimensional function which can be implemented by structuring an evaluation object of the grassland human-living environment; Step S1 includes the following steps when multi-dimensional characterization logic construction is carried out: Evaluating the application range and the spatial scale definition of the object; Dividing a multi-dimensional functional domain; functional dimension semantic calibration; Determining a logic relation between dimensions; Step S1 finally obtains a multidimensional function characterization structure of the grassland human living environment, and the expression is as follows: ; Wherein: Representing a multi-dimensional function characterization structure of a grassland human-living environment; representing a production support function dimension; Representing life bearing function dimensions; Representing the dimension of the ecological constraint function.
3. The method for adaptive evaluation of multi-dimensional synthetic index for grassland human living environment according to claim 1, wherein said step S2 is to describe the multi-dimensional function description space outputted in step S1 Mapping the candidate index complete set correspondingly to form an index set divided according to the functional domain; Step S2 when performing the evaluation index adaptive mapping, the method comprises the following steps: Constructing a candidate index corpus; mapping an index functional domain; Generating a functional domain index set; And (5) collecting consistency arrangement.
4. The multi-dimensional comprehensive index adaptive evaluation method for the grassland human-living environment according to claim 3, wherein the step S2 is characterized in that when constructing the candidate index corpus, the indexes in the grassland human-living environment evaluation system, and the indexes in the spatial function division and the ecological service evaluation are organized into the corpus: ; Wherein the method comprises the steps of Represent the first Candidate indexes; The index sources comprise statistical data, remote sensing land utilization/coverage data and social economic annual inspection and ecological service evaluation documents.
5. The multi-dimensional comprehensive index adaptive evaluation method for grassland human-living environment according to claim 3, wherein the step S2 is based on the function description space output by the step S1 when performing index function domain mapping Mapping each candidate index to a unique functional dimension, forming a functional map: ; For each of Functional domain to which it belongs is determined ; The judging basis adopts standard text comparison, functional semantic analysis or existing planning classification guidelines and comprises the following steps: grassland coverage → ; Average income → ; Grass yield → 。
6. The method for adaptive evaluation of multi-dimensional comprehensive indexes for grassland human-living environments according to claim 3, wherein the step S2 is characterized in that, when the function domain index set is generated, the mapped indexes are aggregated according to the function domain: ; ; ; The interior of the set only contains indexes of corresponding dimensions, and no intersection exists between the sets.
7. The method for adaptive evaluation of multi-dimensional synthetic index for grassland human living environment according to claim 3, wherein said step S2 is performed for the set consistency arrangement of 、、 The three sets are subjected to unified organization, so that the final output of the step S2, namely the functional domain index set, is obtained, and the expression is as follows: 。
8. The method for adaptively evaluating multi-dimensional comprehensive indexes oriented to grassland human living environment according to claim 1, wherein the step S3 is characterized in that on the basis of the functional domain index set obtained in the step S2, through cross-dimension association consistency verification between different functional domain indexes, indexes which have conflict or are not cooperatively calculated in the functional action, change trend or analysis sense are identified and removed, so as to form a computable index subset capable of participating in subsequent analysis and comprehensive evaluation under a unified computing framework, and the method is characterized in that The index subset is represented as being composed of indexes that pass cross-dimension association consistency checks.
9. The method for adaptively evaluating the multidimensional comprehensive index oriented to the grassland human-living environment according to claim 1, wherein the step S4 is characterized in that the indexes which pass through the cross-dimension consistency check and have the unified calculation basis are further converted into the functional intensity expression results of each functional dimension in the grassland human-living environment, namely, the multidimensional comprehensive index set on the basis that the computable index subset is obtained in the step S3 The expression is: ; Wherein, the A composite intensity index representing production function dimensions in a grassland human-living environment; a comprehensive strength index representing a dimension of a living function in a grassland human-living environment; And the comprehensive strength index represents the dimension of ecological functions in the grassland human living environment.
10. The adaptive evaluation method of the multi-dimensional comprehensive index for the grassland human-living environment according to claim 1, wherein the step S5 is characterized in that on the basis that the set of the multi-dimensional comprehensive indexes is formed in the step S4, unified multi-dimensional collaborative expression is carried out on the comprehensive strength results of three dimensions of the production function, the living function and the ecological function, and a multi-dimensional comprehensive index capable of integrally reflecting the multi-dimensional function collaborative state of the grassland human-living environment is constructed; step S5 includes the following steps when multidimensional collaborative expression is carried out: carrying out consistency bearing on the comprehensive index of the split dimension; constructing a multidimensional unified expression space; Multidimensional collaborative expression calculation; And (5) determining and outputting the comprehensive result.

Description

Multi-dimensional comprehensive index self-adaptive evaluation method oriented to grassland human-living environment Technical Field The invention relates to the technical field of ecological environment monitoring, in particular to a multi-dimensional comprehensive index self-adaptive evaluation method for grassland human settlement environments. Background The grassland living environment is used as a composite system integrating production support, living bearing and ecological constraint, and the state evaluation of the grassland living environment generally relates to various aspects of natural resource conditions, socioeconomic activities, ecological service functions and the like. The existing evaluation method mostly adopts a single index or simple weighting mode, and is lack of attention to the inherent difference and cooperative relationship of different functional dimensions, so that insufficient stability and interpretation of the evaluation result in region comparison or time sequence analysis are easily caused. In the prior art, an index system is always directly formed in a converging way under the condition of lacking explicit functional dimension constraint, and the corresponding relation between indexes and functional domains is mostly dependent on empirical interpretation or post-classification, so that the boundaries of the indexes of different functional dimensions are fuzzy and non-unique in attribution, and further the problem of logic mixing is introduced in the multidimensional comprehensive calculation process, and the traceability and stability of an evaluation result are affected. Disclosure of Invention Aiming at the defects of the prior art, the invention provides a multi-dimensional comprehensive index self-adaptive evaluation method oriented to the grassland human-living environment, so as to solve the problems in the background art. In order to achieve the above purpose, the present invention provides the following technical solutions: in a first aspect, an embodiment of the present invention provides a method for adaptively evaluating a multidimensional comprehensive index oriented to a grassland human living environment, including the following steps: s1, constructing a grassland human-living environment multidimensional characterization logic; S2, performing evaluation index adaptive mapping by using a multidimensional function description space to obtain a function domain index set; s3, performing cross-dimension association consistency check by using the functional domain index set to obtain a computable index subset; s4, carrying out multidimensional functional intensity expression by using the computable index subset to obtain a multidimensional comprehensive index; s5, carrying out multidimensional collaborative expression by using the multidimensional comprehensive index to obtain a grassland human living environment multidimensional comprehensive index; Further optimizing the technical scheme, wherein the step S1 carries out structural and executable multidimensional function definition on an evaluation object, namely a grassland human living environment; Step S1 includes the following steps when multi-dimensional characterization logic construction is carried out: Evaluating the application range and the spatial scale definition of the object; Dividing a multi-dimensional functional domain; functional dimension semantic calibration; Determining a logic relation between dimensions; Step S1 finally obtains a multidimensional function characterization structure of the grassland human living environment, and the expression is as follows: ; Wherein: Representing a multi-dimensional function characterization structure of a grassland human-living environment; representing a production support function dimension; Representing life bearing function dimensions; Representing the dimension of the ecological constraint function. Further optimizing the technical scheme, wherein the step S2 is to describe the space of the multidimensional function outputted by the step S1Mapping the candidate index complete set correspondingly to form an index set divided according to the functional domain; Step S2 when performing the evaluation index adaptive mapping, the method comprises the following steps: Constructing a candidate index corpus; mapping an index functional domain; Generating a functional domain index set; And (5) collecting consistency arrangement. Further optimizing the technical scheme, when constructing the candidate index corpus, the step S2 sorts the indexes in the grassland human living environment evaluation system and the indexes in the space function division and the ecological service evaluation into the corpus: ; Wherein the method comprises the steps of Represent the firstCandidate indexes; The index sources comprise statistical data, remote sensing land utilization/coverage data and social economic annual inspection and ecological service evaluation documents. Fu