2
D. Uzun Ozsahin et al.
shrinking of the glacier ice, bush burning, deforestation etc. To provide a solution to
these, several environmental friendly alternative needs to be consider.
Keywords Multi criteria decision making · Fuzzy logic · Environmental science
Multi-criteria decision-making analysis uses mathematical simulation tool to evaluate and compare conflicting alternatives based on multiple criteria. This result in
ranking of alternatives from the most preferred to the least preferred. Asides criteria,
weight and preference function are considered. In this textbook, the most popular
and frequently used MCDM tools will be discussed and used. These are Analytic
Hierarchy Process (AHP), Technique for Order of Preference by Similarity to Ideal
Solution (TOPSIS), Elimination Et Choix Traduisant la Realite (ELECTRE), Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) and
Vise Criterion Optimization and Compromise Solution in Serbian (VIKOR). Fuzzy
logic and fuzzy based MCDM will also be elaborated on.
Multi-Criteria Decision-Making (MCDM) has become a fairly well-known sector
of the Operational Research/Management Science discipline; indeed, in recent years,
numerous other methodologies and paradigms have been created in this area, with
increasing use every day to a rather different type of problem scenarios.
MCDM methods have every chance of providing tools for difficult planning exercises, in terms of structuring values, weighing and choosing other possibilities, and
distributing resources between competing for work styles. These methods still can
take into account in contexts in which a certain number of interested stakeholders
are involved, which in fact has the potential to lead to conflict situations. The use of
MCDM techniques has flourished in every scientific field. Taking into account the
distribution of these layouts and their variants, it is important to have an absolute
awareness of their comparative value and ease of use in all kinds of contexts. As such,
this special issue has a collection of methodological and applied cases that provide
important merit in the field of making Multi-Criteria Decision-Making.
MCDM and MODM (Multi Objective Decision Making) it is two fundamental
techniques of MCDM. The tasks of MCDM differ from the complication of MODM,
which include producing the “leading” alternative by considering mutual concessions
within a set of interacting design limitations. The MCDM method selects some areas
of action if there are several, as a rule, incompatible attributes.
MCDM is an exceptionally famous branch of decision-making. This is
a branch of a joint class of models for the study of operations that find solution of the
troubles of a conclusion in the presence of a number of criteria for making a conclusion. The MCDM alignment urges that choice be made between the conclusions
described by their attributes. It is expected, in fact, that the difficulties of MCDM
have in advance a concrete, limited number of other conclusions. Conclusion of
difficulty MCDM incorporates sorting and ranking.
In the MODM approach, contrary to the MCDM approach, the decision alternatives are not given. Instead, MODM provides a mathematical framework for
designing a set of decision alternatives. Each alternative, once identified, is judged by
D. Uzun Ozsahin et al.
shrinking of the glacier ice, bush burning, deforestation etc. To provide a solution to
these, several environmental friendly alternative needs to be consider.
Keywords Multi criteria decision making · Fuzzy logic · Environmental science
Multi-criteria decision-making analysis uses mathematical simulation tool to evaluate and compare conflicting alternatives based on multiple criteria. This result in
ranking of alternatives from the most preferred to the least preferred. Asides criteria,
weight and preference function are considered. In this textbook, the most popular
and frequently used MCDM tools will be discussed and used. These are Analytic
Hierarchy Process (AHP), Technique for Order of Preference by Similarity to Ideal
Solution (TOPSIS), Elimination Et Choix Traduisant la Realite (ELECTRE), Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) and
Vise Criterion Optimization and Compromise Solution in Serbian (VIKOR). Fuzzy
logic and fuzzy based MCDM will also be elaborated on.
Multi-Criteria Decision-Making (MCDM) has become a fairly well-known sector
of the Operational Research/Management Science discipline; indeed, in recent years,
numerous other methodologies and paradigms have been created in this area, with
increasing use every day to a rather different type of problem scenarios.
MCDM methods have every chance of providing tools for difficult planning exercises, in terms of structuring values, weighing and choosing other possibilities, and
distributing resources between competing for work styles. These methods still can
take into account in contexts in which a certain number of interested stakeholders
are involved, which in fact has the potential to lead to conflict situations. The use of
MCDM techniques has flourished in every scientific field. Taking into account the
distribution of these layouts and their variants, it is important to have an absolute
awareness of their comparative value and ease of use in all kinds of contexts. As such,
this special issue has a collection of methodological and applied cases that provide
important merit in the field of making Multi-Criteria Decision-Making.
MCDM and MODM (Multi Objective Decision Making) it is two fundamental
techniques of MCDM. The tasks of MCDM differ from the complication of MODM,
which include producing the “leading” alternative by considering mutual concessions
within a set of interacting design limitations. The MCDM method selects some areas
of action if there are several, as a rule, incompatible attributes.
MCDM is an exceptionally famous branch of decision-making. This is
a branch of a joint class of models for the study of operations that find solution of the
troubles of a conclusion in the presence of a number of criteria for making a conclusion. The MCDM alignment urges that choice be made between the conclusions
described by their attributes. It is expected, in fact, that the difficulties of MCDM
have in advance a concrete, limited number of other conclusions. Conclusion of
difficulty MCDM incorporates sorting and ranking.
In the MODM approach, contrary to the MCDM approach, the decision alternatives are not given. Instead, MODM provides a mathematical framework for
designing a set of decision alternatives. Each alternative, once identified, is judged by