The use of MCDMs, or Multi-Criteria Decision Making Methods, in various aspects of research has increased dramatically in recent years. The total number of papers on MCDMs is 1298 in 2022, compared to only 51 in 1999. That translates to a 25.45-fold increase in the number of research papers published in journals of Elsevier Publishers.If we categorize the papers based on the objective of MCDM application, we can broadly divide the published papers into the seven perspectives listed below. MCDMs are used for other purposes as well, but the number of papers on those topics is limited. Read the complete article by clicking this link : https://researchmethodology2012.blogspot.com/2022/08/seven-research-area-where-mcdms-are.html

1. Seven Research
Area where MCDMs
are used for better
results
Dr.Mrinmoy Majumder
Hydro-Geek
Author, Lecture Notes on MCDM

2. Introduction
• The use of MCDMs, or Multi-Criteria Decision-Making Methods, in various
aspects of research has increased dramatically in recent years.
• The total number of papers on MCDMs is 1298 in 2022, compared to only 51 in
1999.
• That translates to a 25.45-fold increase in the number of research papers
published in journals of Elsevier Publishers.
• If we categorize the papers based on the objective of MCDM application, we can
broadly divide the published papers into the seven perspectives listed in the next
slides.
• MCDMs are used for other purposes as well, but the number of papers on those
topics is limited.

3. Location/Site Selection
• MCDMs are frequently used to identify an ideal site or location for the
installation or relocation of some industrial units, power plants,
business centers, market complexes, and so on.
• The main objective of MCDM applications remains to consider some
factors and identify the best location among the multiple locations
available for selection.(Example : Nagababbu et.al.,Bairagi, B)

4. Performance Evaluation
• MCDM techniques were used in several papers to analyze the
performance of a product, an industry, or a proposed project.
• In a few cases, the application of some techniques was used to evaluate
some models/formulae/applications.(Example: Nkuna et.al., Stevic
et.al.)

5. Benchmark Development
• The creation of benchmarks is critical in performance analysis.
• The goal included developing benchmarks for evaluation using
MCDM techniques, and then applying the technique to evaluate the
performance of some products/processes/etc. by comparing the
performance to the developed benchmark. (Example: Lohakare
et.al., Sumrit et.al.)

6. Development of Decision Support
Systems
• MCDMs are also used in the development of integrated Decision Support
Systems(DSS).
• This technique is primarily used for the development of the DSS's logic,
which is used by the system to make decisions.
• DSS are used to achieve a variety of goals such as supplier selection,
material selection, disaster management, and preventive measurements.
(Examples : Ghazi et.al., Namin et.al.)

7. Vulnerability/Risk Analysis
• Another objective where MCDMs are used alternatively is vulnerability/risk analysis.
• Vulnerability is the process of identifying and analyzing potential issues that could
negatively impact the system's key objectives.
• Risk is the process of identifying and analyzing potential issues that could negatively
impact the system's key objectives.
• Both vulnerability and risk involve a lot of decision-making through prioritization,
comparing with benchmarks, or feature selection.
• MCDM is a technique for decision-making objectives such as prioritization, feature
selection, and so on.
• That is the reason why there is a large number of papers on the application of MCDMs in
vulnerability or risk analysis. (Mondal et.al., Tanim et.al.)

8. Index Development
• An index is a metric or indicator about something.
• In the stock exchange, an index is used to measure the performance of any particular aspect of the market.
• The index developed for ecological studies is used to quantify and summarize ecological conditions at
multiple levels.
• The weights of significance assigned to the input parameters based on their impact on the output are used
to create an index.
• The primary goals of all compensatory MCDMs(Compensatory and Outranking techniques comprise the
two categories of MCDMs. The distinction between the two is explained in my MCDM lecture notes.)
(such as AHP, ANP, MACBETH, and so on) are to determine the weights of the input parameters so that
the output can be used as a single point or number indicator of the inputs.
• As a result, MCDMs are widely used in the development of indicators. (Example: Gavalas et.al., Pathan
et.al.)

9. Prioritization
• The process of determining the level of importance and urgency of a
task, system, event, etc. is known as prioritization.
• Prioritization is broadly equivalent to a process for identifying the best
solution among many available solutions.
• The MCDM techniques were discovered to be ideal for use in
prioritizing a list of solutions or options in order to identify the most
optimal among them. (Example: Sarkar et.al., Ghasemlouniaa and
Utlub)

10. Conclusion
• Examining the published papers revealed that many times, multiple
MCDMs were used in a hybrid mode by researchers rather than just one.
GIS is sometimes used to visualize the technique's output.
• The most used technique under MCDM is AHP, which is followed by Fuzzy
Logic.
• Even in situations where there is a high degree of certainty, different
MCDMs can produce inconsistent rankings of the alternatives.
• When two different MCDM techniques are used on the same decision
problem, they can produce two different solutions.
• Because of this, the two most difficult tasks for a new researcher when
developing an MCDM-based methodology are the selection of an
appropriate analytic method and the interpretation of the MCDM results.

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