evaluation models

Model Perspective

Feb 1, 2024 · Operations

Essential Guide to Evaluation and Optimization Models: Concepts, Methods, and Algorithms

This article compiles recent resources on evaluation and optimization models, covering fundamental concepts, data preprocessing techniques, weighting methods such as TOPSIS and entropy, as well as linear and integer programming, graph theory, network algorithms, and meta‑heuristic approaches like simulated annealing and genetic algorithms.

Linear Programmingevaluation modelsgraph algorithms

0 likes · 3 min read

Essential Guide to Evaluation and Optimization Models: Concepts, Methods, and Algorithms

Model Perspective

Feb 1, 2024 · Operations

A Curated Guide to Evaluation and Optimization Models for Researchers

This article compiles a comprehensive list of evaluation and optimization model resources, covering Data Envelopment Analysis, ANP, VIKOR, grey relational analysis, linear and integer programming, and various meta‑heuristic algorithms with example implementations, providing a handy reference for scholars and practitioners.

Linear Programmingevaluation modelsmetaheuristics

0 likes · 4 min read

A Curated Guide to Evaluation and Optimization Models for Researchers

Model Perspective

Nov 6, 2022 · Operations

How to Master Multi‑Criteria Decision Making for Comprehensive Evaluations

This article explains the concept of comprehensive evaluation problems, outlines the five essential elements of an evaluation system, and reviews classic multi‑criteria decision‑making methods such as TOPSIS, entropy weight, and AHP, while offering practical guidance on indicator selection, data preprocessing, model suitability, and result validation.

MADMevaluation modelsmulti-criteria decision making

0 likes · 6 min read

How to Master Multi‑Criteria Decision Making for Comprehensive Evaluations

Model Perspective

Nov 6, 2022 · Operations

Master Evaluation & Optimization Models: Concepts, Methods, and Algorithms

This curated guide compiles recent articles on evaluation and optimization models, covering concepts, preprocessing techniques, weighting methods such as TOPSIS and entropy, as well as linear/integer programming, graph theory, shortest‑path, max‑flow, simulated annealing, and genetic algorithms.

Linear Programmingevaluation modelsgraph theory

0 likes · 6 min read

Master Evaluation & Optimization Models: Concepts, Methods, and Algorithms

Model Perspective

Sep 1, 2022 · Fundamentals

Mastering Evaluation Models: From TOPSIS to Entropy‑AHP for Decision Making

This article explains the fundamentals of evaluation models, outlines five key components of such problems, reviews common methods like TOPSIS, entropy weight, and AHP, and discusses innovative strategies such as composite indicators and combining evaluation models with each other or with predictive algorithms.

AHPTOPSIScomposite indicators

0 likes · 10 min read

Mastering Evaluation Models: From TOPSIS to Entropy‑AHP for Decision Making

Model Perspective

May 30, 2022 · Fundamentals

How to Define the “Best” Object in Multi‑Criteria Evaluation Models

This article explains how to set the “best” reference in comprehensive evaluation models by introducing several modeling approaches—including full‑score, ideal‑object, TOPSIS, and DEA—along with the necessary terminology, weighting, and distance calculations.

DEATOPSISevaluation models

0 likes · 7 min read

How to Define the “Best” Object in Multi‑Criteria Evaluation Models

Model Perspective

May 18, 2022 · Fundamentals

Mastering Evaluation Models: From TOPSIS to Entropy‑AHP for Decision‑Making

This article explains the concept of evaluation problems, outlines five essential elements, introduces common models such as TOPSIS, entropy weight, AHP, and fuzzy evaluation, and discusses how to combine and innovate evaluation models for more effective decision‑making.

AHPTOPSISentropy weight

0 likes · 10 min read

Model Perspective

May 9, 2022 · Fundamentals

How to Master Multi‑Criteria Decision Making for Comprehensive Evaluations

This article explains the concept of comprehensive evaluation problems, outlines the five essential elements of an evaluation system, and reviews classic multi‑criteria decision‑making methods such as TOPSIS, entropy weighting, and AHP, while highlighting key practical considerations.

AHPTOPSISevaluation models

0 likes · 5 min read