//
// Created by lenovo on 2023/10/16.
//

#ifndef ALGORITHM_GREYCLUSTEREVALUATION_H
#define ALGORITHM_GREYCLUSTEREVALUATION_H

#include <QVector>

struct GCERange
{
    int level;  // 等级
    double left_left;
    double left_val;
    double right_val;
    double right_right;
};
struct GCEmat
{
    double front_val;
    double back_val;
};
struct BestIndex
{
    int front_index;
    int back_index;
};

typedef QVector<GCEmat> GCEMat;
typedef QVector<QVector<GCERange>> GCERangeMat;

/**
 * @brief 灰色聚类
 */
class GreyClusterEvaluation
{
public:
    /**
     *
     * @param mat : 输入矩阵，一行代表一个指标, 指标中front_val,back_val表示前后样本
     * @param ranges : 各项指标的评价等级
     */
    GreyClusterEvaluation(const GCEMat &mat, const GCERangeMat &ranges);

    void evaluate(const QVector<double> &weights);

    BestIndex getBestIndex() const;

    const QVector<GCEmat> &getRangeWeights() const;
    const QVector<GCEMat> &getRangeCVT() const;

    int sample_num_;  // 样本数
    int level_num_;   // 等级数

private:
    void triangularwhiteningweight(int sam, double front_val, double back_val);

    void evaluationlevel(const QVector<double> &weights);

    GCEMat mat_;
    GCERangeMat ranges_;
    QVector<GCEMat> ranges_cv_;
    QVector<GCEmat> ranges_weight_;
};

#endif  // ALGORITHM_GREYCLUSTEREVALUATION_H