About Multi-Criteria Decision Support System DecernsMCDA (original) (raw)
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Research Square (Research Square), 2021
This paper has proposed a novel Multi-Criteria Decision Analysis (MCDA) technique that considers relationships among the criteria, relationships among the alternatives, relationships among the criteria and the alternatives, the uncertainty or dilemma that the decision makers face in their decision-making, the entropy among the criteria. These characteristics seem to be the essential characteristics of various MCDA techniques as evident from the existing literature. The dilemma of the decision makers have been captured by the use of Hesitant Fuzzy Elements; the information content among the criteria have been captured by applying the concept of entropy through the application of a technique called IDOCRIW. Relationships have been determined by calculating the covariances among the criteria and among the alternatives. A kind of sensitivity analysis, rank reversal method has been performed to verify the effectiveness of the proposed technique. The proposed method has also been compared with four different types of already existing MCDA techniques, AHP, MAUT, MACBETH and MOORA. Both the sensitivity analysis and the comparison with other methods establish the effectiveness of the proposed technique.
A Novel Multi-Criteria Decision Analysis Technique Considering Various Essential Characteristics
2021
This paper has proposed a novel Multi-Criteria Decision Analysis (MCDA) technique that considers relationships among the criteria, relationships among the alternatives, relationships among the criteria and the alternatives, the uncertainty or dilemma that the decision makers face in their decision making, the entropy among the criteria. The dilemma of the decision makers has been captured through the use of Hesitant Fuzzy Elements; the information content among the criteria has been captured by applying the concept of entropy through the application of a technique called IDOCRIW. A kind of sensitivity analysis has been performed to verify the effectiveness of the proposed technique. The proposed method has also been compared with four different types of already existing MCDA techniques, AHP, MAUT, MACBETH and MOORA. Both the sensitivity analysis and the comparison with other methods establish the effectiveness of the proposed technique.
Multi-criteria risk management with the use of DecernsMCDA: methods and case studies
Environment Systems and Decisions, 2016
Emerging challenges of risk management, environmental protection, and land-use planning requires integration of stakeholder values and expert judgment. The process of decision making in situation of high uncertainty can be assisted through the use of decision support systems (DSSs). Such DSSs are often based on tools for spatial data representation (GIS) and environmental models that are integrated using multi-criteria decision analysis (MCDA). This paper presents DecernsMCDA implementing all major types of multi-criteria methods and tools (AHP, MAUT, Outranking) under the same user interface. In addition to providing ability for testing model uncertainty associated with selection of specific MCDA algorithms, De-cernsMCDA implements new algorithms for parameter uncertainty analysis based on probabilistic approaches and fuzzy sets. The paper illustrates application of De-cernsMCDA for selecting remedial alternative at radiologically contaminated sites.
A New Software Development for Fuzzy Multicriteria Decision‐Making
Technological and Economic Development of Economy, 2009
In this paper, software for Fuzzy Multiple Criteria Decision Making (FMCDM) problems has been developed and tested on two real problems. FMCDM methods are widely used when imprecise data or linguistic variables exist in the problem. Using FMCDM methods may help improve decision-making problems and lead to more accurate models. Although these methods are more involved in terms of computing due to fuzzy calculations in MCDM algorithms, fuzziness offers advantages over classical algorithms. Thus appropriate software is of great importance in applying FMCDM methods. The major aim of this study is to develop software and to test it on two real military problems which are solved by an ideal points algorithm and an outranking method. The results and outputs are discussed with sensitivity analyses.
Multi Criteria Decision Making (MCDM) Methods and its applications
International Journal for Research in Applied Science and Engineering Technology
Multi Criteria Decision Making (MCDM) is the quantitative and qualitative method, problem has many solution but to find the solution and to get the appropriate decision regarding the solution is the application of MCDM. This paper gives the information about all the MCDM methods with the applications of maximum MCDM methods to various fields as per the literature. The aim is revel MCDM methods and their applications to understand the nature of MCDM for various problems. The utilization of MCDM to other field gives an idea for the new research area. The review helps to find the problems studied by different researcher and the solution they interpreted by using MCDM methods like ELECTRA, PROMETHEE, TOPSIS, AHP,GP etc. AHP, TOPSIS, MAUT were the most used methods but hybrid or integrated methods gives the solution for problem like location, finance, bankrupt, construction bridges, waste water and many more. This combination creates the new era in MCDM history.
Fuzzy Multi-Criteria DSS: Their Applicability and Their Practical Value
Lecture Notes in Economics and Mathematical Systems, 2000
Most forms of Multiple Criteria Analysis / Decision Aid require the decision maker to make many preference judgements. We have found, from our experience with using a simple Multiple Attribute Value Function (MAVF) approach in both experimental and organisational settings, that in practice those involved in the decision process are often reluctant or have difficulty to specify such judgements in a precise way, preferring to retain some degree of imprecision or ambiguity. Whilst there is much theoretical work on the use of concepts from Fuzzy Set Theory in MCDA and a number of outranking methods, in particular, incorporate these ideas, little attention has been paid to the potential for integrating these ideas within the framework of the MA VF approach. This is the focus for the work presented in this paper. We begin by briefly describing a fuzzy version of MAVF approach and its implementation as an extension of the V-I-SeA software. Our concern is both with the theoretical validity and the practical usefulness of this new approach. We also describe a programme of experimental work comparing the fuzzy and the non-fuzzy MA VF approaches. Finally, we discuss the issues arising from this work together with some theoretical concerns.
A Survey on Multi Criteria Decision Making Methods and Its Applications
Multi Criteria Decision Making (MCDM) provides strong decision making in domains where selection of best alternative is highly complex. This survey paper reviews the main streams of consideration in multi criteria decision making theory and practice in detail. The main purpose is to identify various applications and the approaches, and to suggest approaches which are most robustly and effectively useable to identify best alternative. This survey work also addresses the problem in fuzzy multi criteria decision making techniques. Multi criteria decision making have been applied in many domains. MCDM method helps to choose the best alternatives where many criteria have come into existence, the best one can be obtained by analyzing the different scope for the criteria, weights for the criteria and the choose the optimum ones using any multi criteria decision making techniques. This survey provides the comprehensive developments of various methods of FMCDM and its applications.
Decerns : A Framework for Multi-Criteria Decision Analysis
International Journal of Computational Intelligence Systems, 2015
A new framework, Decerns, for multicriteria decision analysis (MCDA) of a wide range of practical problems on risk management is introduced. Decerns framework contains a library of modules that are the basis for two scalable systems: DecernsMCDA for analysis of multicriteria problems, and DecernsSDSS for multicriteria analysis of spatial options. DecernsMCDA includes well known MCDA methods and original methods for uncertainty treatment based on probabilistic approaches and fuzzy numbers. These MCDA methods are described along with a case study on analysis of multicriteria location problem.
Expert Systems with Applications, 2015
MCDM is considered as a complex decision-making tool involving both quantitative and qualitative factors. In recent years, several fuzzy FMCDM tools have been suggested to choosing the optimal probably options. The purpose of this paper is to review systematically the applications and methodologies of the fuzzy multi decision-making (FMCDM) techniques. This study reviewed a total of 403 papers published from 1994 to 2014 in more than 150 peer reviewed journals (extracted from online databases such as ScienceDirect, Springer, Emerald, Wiley, ProQuest, and Taylor & Francis). According to experts' opinions, these papers were grouped into four main fields: engineering, management and business, science, and technology. Furthermore, these papers were categorized based on authors, publication date, country of origin, methods, tools, and type of research (FMCDM utilizing research, FMCDM developing research, and FMCDM proposing research). The results of this study indicated that, in 2013, scholars have published papers more than other years. In addition, hybrid fuzzy MCDM in the integrated method and fuzzy AHP in the individual section were ranked as the first and second methods in use. Additionally, Taiwan was ranked as the first country that contributed to this survey, and engineering was ranked as the first field that has applied fuzzy DM tools and techniques.
A Review on Multi-Criteria Decision-Making and Its Application
REST Journal on Emerging trends in Modelling and Manufacturing, 2022
Capable of Multi-Scale Decision Making (MCDM), it improves all areas of decision-making engineering from design production, but is also highly applicable to applications in high-tech market areas. Very small gains in material performance. The full potential of MCDM systems is realized by performance, while complex material selection considers the material, process and form of the problems. Therefore, it is necessary to expand the range of MCDM methods to conceptualize experience in developing a wide range of engineering applications and material selection. It is important to deal with and deal with uncertainty in order to effectively address current practical design issues and data controls, as well as product selection and effective application of MCDM. Design. Products with highly advanced materials and designed properties, especially composites and so on Functional materials are a significant part of starting to use MCDM. With the current emphasis on material design and modeling, it is desirable to incorporate a wide range of analytical capabilities into future versions of computer simulation software.