About Multi-Criteria Decision Support System DecernsMCDA (original) (raw)
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 DecisionâMaking
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.
Different multi-criteria decision-making (MCDM) techniques require different levels of computational intensity and may produce different outputs, so selecting an appropriate technique largely determines the quality of the recommended decision and the effort required to obtain that decision. In most real environments , criteria and their constraints are not deterministic and cannot be specified precisely; therefore, those criteria are uncertain or fuzzy. To facilitate the selection of an appropriate MCDM method under a fuzzy environment, this study investigates and statistically compares the performances of ten commonly used MCDM techniques: simple additive weights (SAW), weighted product method (WPM), compromise programming (CP), technique for order preference by similarity to ideal solution (TOPSIS), four types of analytical hierarchy process (AHP), VIKOR (in Serbian: VIseKriterijumska Optimizacija I Kompromisno Re-senje), and ELECTRE (in French: ELimination Et Choix Traduisant la REalité). These techniques' performances were compared using fuzzy criteria and constraints, matching the conditions usually found in real applications. To conduct the comparisons, the 10 multi-criteria decision ranking methods were applied to 1250 simulated sets of decision matrices with fuzzy triangular values, and 12,500 sets of ranks were analyzed to compare the ranking methods. SAW and TOPSIS had statistically similar performances. ELECTRE was not preferable in providing full, sorted ranks among the alternatives. VIKOR considering its ranking process, for specific conditions, assigns identical ranks for several alternatives; when full, sorted ranks are required, VIKOR is unfavorable, although it is a powerful technique in introducing the closest alternative to the ideal condition. Types 1 and 3 of AHP and types 2 and 4 of AHP had close performances. Notably, no ranking method was significantly sensitive to uncertainty levels when uncertainty changed symmetrically.
Critical Criterion Analysis for Multi-criteria Decision Making
International Journal of Applied Physics and Mathematics, 2016
In multi-criteria decision making process, Decision Maker may prefer one criterion more than the others. The preferences can be reflected via the weights of the criteria. Once a decision ranking has been obtained, the Decision Maker may want to change their preferences. The change may or may not affect the current decision ranking. The smallest change in the preferences value that affects the current ranking may determine the critical criterion. To seek for the critical criterion, the sensitivity of ranking to the variety of the criteria weights is analyzed in the paper. Different methods of multi-criteria decision analyses are used for comparison, such as the trade-off ranking, relative distance method and TOPSIS.
Fuzzy multiple criteria decision making: Recent developments
Fuzzy Sets and Systems, 1996
Multiple Criteria Decision Making (MCDM) shows signs of becoming a maturing field. There are four quite distinct families of methods: (i) the outranking, (ii) the value and utility theory based, (iii) the multiple objective programming, and (iv) group decision and negotiation theory based methods. Fuzzy MCDM has basically been developed along the same lines, although with the help of fuzzy set theory a number of innovations have been made possible; the most important methods are reviewed and a novel approach -interdependence in MCDM -is introduced.
A Hybrid Multi-Criteria Decision Support Model: Combining DANP with MDS
2014
Human beings encounter the problem of making decision in their daily life. However, most decision makers, when encounter the decision problems involving multi-criteria or diverse alternatives, they could not make correct decision due to lacking related decision-making information. Therefore, what is most concerned by the decision makers is how to pick out the most optimal decision-making evaluation factors and the best execution alternataive for a multi-criteria decision making (MCDM) problem. This study combined the merits of various decision-making analytic methods, namely, decision making trial and evaluation laboratory (DEMATEL), analytic network process (ANP) and Multidimensional Scaling (MDS), so as to propose a four-stage Hybrid Decision-Making Support Model (HDMSM) to assist the decision makers in making the best decision when they face a decision problem.
Multi-Criteria Decision Analysis Methods Comparison
Environmental and Climate Technologies
Multi-criteria decision analysis (MCDA) is widely used to solve various decision problems through alternative evaluation. MCDA methods can be used in every field that can define a problem, alternatives and criteria. However, finding the appropriate method can influence the results, in this research five MCDA methods have been tested on the renewable energy sector in Latvia to find the best alternative. The main results showed that TOPSIS, VIKOR and PROMETHEE-GAIA have similar priority selection and the highest ranking was selected for hydropower plant, but MULTIMOORA and COPRAS results were beneficial to Solar PV.