遇到困难了，求求大佬帮忙"Expert Choice" is a software and methodology developed to support decision-making processes, particularly in situations involving complex decisions. It is based on the Analytic Hierarchy Process (AHP), a structured technique for organizing and analyzing complex decisions, based on mathematics and psychology. AHP was developed by Thomas L. Saaty in the 1970s and has been applied to numerous decision-making situations, ranging from business and government to healthcare and education.

Expert Choice integrates the AHP framework to facilitate decision-makers in prioritizing and selecting from a set of alternatives based on multiple criteria. It helps in breaking down a decision problem into a hierarchy of more easily comprehended sub-problems, each of which can be analyzed independently. The results of these analyses are then synthesized to produce a set of overall rankings for the decision alternatives.

Here are some key features of Expert Choice:

• [color=var(--tw-prose-bold)]Hierarchical Structuring: It allows users to structure complex problems into a hierarchy of goals, criteria, sub-criteria, and alternatives.
• [color=var(--tw-prose-bold)]Pairwise Comparisons: Users make comparisons between pairs of elements (criteria or alternatives) to assess their relative importance or preference.
• [color=var(--tw-prose-bold)]Consistency Analysis: It provides a mechanism to check the consistency of the comparisons made by the decision-makers, helping to ensure that the judgments are reliable.
• [color=var(--tw-prose-bold)]Aggregation of Group Judgments: Expert Choice supports group decision-making by aggregating individual judgments into a collective assessment.
• [color=var(--tw-prose-bold)]Sensitivity Analysis: The software allows users to perform sensitivity analyses to see how changes in criteria weights affect the ranking of alternatives, providing insights into the robustness of decisions.
  

This tool is widely used in strategic planning, resource allocation, and product selection, among other applications, to provide a systematic approach to decision-making that is both rigorous and transparent.