Development of a hybrid decision support system

Oct 13, 2025 by orovajewels.com 102 views

The Car Selection Support System in the MPV Segment: A Comparative Analysis of AHP and WP Methods

Introduction

The Multi Purpose Vehicle (MPV) segment has become increasingly competitive in recent years, with consumers facing a multitude of choices when selecting a car that meets their needs. In this challenging market environment, decision support systems (SPK) have emerged as a vital solution to assist consumers in making informed decisions. This article explores the use of the Analytic Hierarchy Process (AHP) and Weighted Product (WP) methods in the development of a car selection support system for the MPV segment.

The Importance of Decision Support Systems in the MPV Segment

In the MPV segment, consumers are faced with a wide range of choices, including various models, features, and price points. This complexity can make it difficult for consumers to determine the best car for their needs. Decision support systems (SPK) can play a crucial role in simplifying this decision-making process by providing relevant information and assisting users in determining the best choices.

The Analytic Hierarchy Process (AHP) Method

The AHP method is a decision-making tool that organizes complex problems into simpler hierarchies. This process begins with determining the main purpose, followed by identifying relevant criteria in car selection, such as prices, comfort, fuel efficiency, and safety features. Each criterion is then compared to each other to determine its priorities. With this approach, users can clearly see how every aspect affects the final decision.

The Weighted Product (WP) Method

On the other hand, the WP method uses multiplication of the weight and alternative value to give a total score on each choice. Each criterion is given a weight according to its importance, and the value of the alternative is measured based on these criteria. With WP, the decision-making process can be done more systematically and measurable, giving objective results about the best car choices.

Comparison of AHP and WP Methods

In evaluating the performance of these two methods, based on operating time, AHP is proven to be faster than WP. This is an important consideration for consumers who want to get information and analysis results with time efficiency. AHP speed in producing decisions allows users to take action immediately, which is very important in a dynamic market.

Advantages of AHP and WP Methods

Both AHP and WP methods have their own advantages. AHP helps users to sort the criteria and alternatives based on their preferences, while WP gives weights to each selected criterion, resulting in ranking from existing alternatives. AHP is also faster than WP, making it a more efficient method for consumers who want to get information and analysis results quickly.

Conclusion

By using a decision support system that integrates the AHP and WP methods, users can make more informed and appropriate decisions in choosing cars in the MPV segment. A deeper understanding of the strengths and weaknesses of each method, as well as its use in the right context, is the key in helping consumers navigate this competitive market. In the long run, the use of SPK will not only provide benefits for individuals, but can also increase customer satisfaction in the use of the selected vehicle.

Future Research Directions

Future research directions in this area may include:

Development of a hybrid decision support system: A hybrid system that combines the strengths of AHP and WP methods may be developed to provide a more comprehensive decision-making tool for consumers.
Integration with other decision-making tools: The AHP and WP methods may be integrated with other decision-making tools, such as fuzzy logic and genetic algorithms, to provide a more robust decision-making framework.
Application to other industries: The AHP and WP methods may be applied to other industries, such as healthcare and finance, to provide a more comprehensive decision-making framework.

Limitations of the Study

This study has several limitations. Firstly, the study only focuses on the MPV segment, and the results may not be generalizable to other industries. Secondly, the study only compares the AHP and WP methods, and other decision-making tools may be more effective in certain contexts. Finally, the study assumes that the decision-making process is a rational and objective process, which may not always be the case in real-world scenarios.

Conclusion

In conclusion, the AHP and WP methods are two decision-making tools that can be used to develop a car selection support system for the MPV segment. While both methods have their own advantages, AHP is faster than WP, making it a more efficient method for consumers who want to get information and analysis results quickly. By using a decision support system that integrates the AHP and WP methods, users can make more informed and appropriate decisions in choosing cars in the MPV segment.
Frequently Asked Questions (FAQs) about the Car Selection Support System in the MPV Segment

Q: What is the purpose of the car selection support system in the MPV segment?

A: The purpose of the car selection support system in the MPV segment is to assist consumers in making informed decisions when selecting a car that meets their needs. The system provides relevant information and helps users determine the best choices based on their preferences and priorities.

Q: What are the two methods used in the car selection support system?

A: The two methods used in the car selection support system are the Analytic Hierarchy Process (AHP) and the Weighted Product (WP) methods. AHP helps users to sort the criteria and alternatives based on their preferences, while WP gives weights to each selected criterion, resulting in ranking from existing alternatives.

Q: What are the advantages of using AHP and WP methods in the car selection support system?

A: The advantages of using AHP and WP methods in the car selection support system include:

AHP helps users to sort the criteria and alternatives based on their preferences
WP gives weights to each selected criterion, resulting in ranking from existing alternatives
AHP is faster than WP, making it a more efficient method for consumers who want to get information and analysis results quickly

Q: How does the car selection support system help consumers in the MPV segment?

A: The car selection support system helps consumers in the MPV segment by:

Providing relevant information about different car models and features
Assisting users in determining the best choices based on their preferences and priorities
Helping users to make more informed and appropriate decisions when selecting a car

Q: What are the limitations of the car selection support system?

A: The limitations of the car selection support system include:

The study only focuses on the MPV segment, and the results may not be generalizable to other industries
The study only compares the AHP and WP methods, and other decision-making tools may be more effective in certain contexts
The study assumes that the decision-making process is a rational and objective process, which may not always be the case in real-world scenarios

Q: Can the car selection support system be applied to other industries?

A: Yes, the car selection support system can be applied to other industries, such as healthcare and finance. However, the system may need to be modified to accommodate the specific needs and requirements of each industry.

Q: What are the future research directions for the car selection support system?

A: The future research directions for the car selection support system include:

Development of a hybrid decision support system that combines the strengths of AHP and WP methods
Integration with other decision-making tools, such as fuzzy logic and genetic algorithms
Application to other industries, such as healthcare and finance

Q: How can consumers benefit from using the car selection support system?

A: Consumers can benefit from using the car selection support system by:

Making more informed and appropriate decisions when selecting a car
Saving time and effort in researching and comparing different car models and features
Increasing customer satisfaction in the use of the selected vehicle

Q: What are the implications of the car selection support system for the automotive industry?

A: The implications of the car selection support system for the automotive industry include:

Increased customer satisfaction and loyalty
Improved sales and revenue
Enhanced competitiveness in the market

Q: How can the car selection support system be improved?

A: The car selection support system can be improved by:

Incorporating more advanced decision-making tools and techniques
Providing more detailed and accurate information about different car models and features
Enhancing the user interface and experience to make it more intuitive and user-friendly.