Multi-criteria Support Research Articles

Comparison AHP-MABAC And Waspas Methods For Supplier Recommendations

The procurement of the goods or services of a company is determined by qualied suppliers. Therefore, it is necessary for a company to choose and evaluate the suppliers that have cooperated based on the required criteria. The purpose is that all of the suppliers can compete in improving the quality and their consistency as a supplier to the company. The process to decide the appropriate supplier in this study is multicriteria support decision methods that can help in the consistency's criteria and the accuracy of the decision. Here we perform the calculation criteria for consistency with the AHP method that will further calculate the weight of criteria and alternatives against the criteria using the method of MABAC and WASPAS. The results of the data comparison using the method of MABAC have actual results with the suppliers recommended and not recommended compared to the method of WASPAS.

SISTEM PENDUKUNG KEPUTUSAN SELEKSI PENYULUH PERTANIAN MENGGUNAKAN METODE ANALITYCHAL HIERARCHY PROCESS

This research was done in Implementing Agency for Agricultural Extension of Fisheries and Forestry Gorontalo City. This research purpose is to design and implementing a Decision Support System to determine agricultural extension agents at the Fishery and Forestry Extension Implementing Agency (BP4K) of Gorontalo City. Researcher will using a multicriteria support decision system named Analytical Hierarchy Process (AHP).With sub-criteria: credit score (K1), duration of promotion (K2), agricultural extension preparation activities (K3), Agricultural extension activities (K4), evaluation activities and agricultural extension reporting in the last 3 years (K5) agriculture in the last 3 years (K6), Professional development activities in the last 3 years (K7), Acquired awards / tandajasa (K8).Based on the results of processing with Analytical Hierarchy Process method is quite effective in accelerating the decision-making process by solving the problem into its parts.

Choosing a hospital assistance ship to fight the covid-19 pandemic.

ABSTRACTOBJECTIVE:To apply the THOR 2 multi-criteria support system to select the Brazilian navy's most suitable hospital care vessel (NAsH) to support the fight against the covid-19 pandemic.METHODS:We used the first three stages of the Soft Systems Methodology for structuring and modeling of the problem. For the evaluation and ordering of alternatives, we used the Thor 2 multi-criteria support system, comparing four classes of NAsH in the light of their operational and hospital criteria: “Dr. Montenegro,” “Soares Meirelles,” “Oswaldo Cruz” and “Tenente Maximiano.” The chosen ship would support the amazon hospital system, which has an increasing number of cases of covid-19.RESULTS:After the application of the methods, we analyzed three distinct scenarios of ordering the alternatives, which allowed a robust sensitivity analysis, conferring greater transparency and reliability to the decision-making process. The NAsH “Oswaldo Cruz” was selected to be used in the fight against the pandemic.CONCLUSIONS:This study brings valuable contribution to academia and society, since it represents the application of a multi-criteria decision-aid method in the state of the art to contribute to the solution of a real problem that affects millions of people in Brazil and worldwide.

Use of Determination of the Importance of Criteria in Business-Friendly Certification of Cities as Sustainable Local Economic Development Planning Tool

One of the essential activities for sustainable local economic development is continuous improvement of business environment which can be carried out through the business-friendly certification as objective benchmarking process, which is influenced by many factors - criteria that could be analyzed using multi-criteria decision-making methods. Determining criteria weights is the most important task regarding these methods for which a number of methodologies based on different approaches were developed. These methodologies could be generally divided into two groups: subjective and objective. Shortly, these methodologies quantify given preferences using knowledge of experts if they are subjective or using calculations from available data if they are objective. Methodologies from these two groups give different results in a wide range of values. Therefore, it is useful to create composite indicators using aggregation of both approaches in order to reduce the influence of their bad individual characteristics and, therefore, achieve a balanced symmetrical approach. The purpose of this paper is constructing one efficient model that solves a problem of the planning of sustainable local economic development in the Republic of Serbia. Our approach uses the aggregation of the entropy method, as one objective approach, and the analytical hierarchy process, as a subjective approach, in executing business-friendly certification process. The implementation of the proposed approach has been demonstrated as a part of a business-to-government (B2G) platform called “Multi-Criteria Support System for Analysis of the Local Economic Environment” in the City of Niš.

Global Innovation Indicators analysed by multicriteria decision

Goal: This paper analyses how European countries of Global Innovation Indicators (GII) present in the ranking by multicriteria support aid analysis.
 Design / Methodology / Approach: The methodology uses Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for ranking countries and PROMETHÉE (Preference Ranking Organisation Method for Enrichment Evaluations) for outranking them.
 Results: There was change in 30 ordered positions from 39 countries observed. At non-compensatory method the overrating become “easier” than the compensatory method, especially when there are many alternatives and criteria for computing with small difference among values.
 Limitations of the investigation: It is only used the GII 2015 Europe for continuing investigations about MCDA realized for Latin America (2017) and Asia and Africa (2019).
 Practical implications: The applications result in a different understanding about TOPSIS ranking application, from original score list at GII; and also the perception of organized groups at outranking application.
 Originality / Value: Observing GII via MCDA is possible to see changing’s in the ranking according to countries profiles different from GII raking. Although European profiles seem to be similar, it is important to observe other perspective of grouping by them; suggesting quantitative studies inclusion and innovative trends.

A multi-criteria decision-making support system for choice of method of compensation for highway construction contractors in Greece

ABSTRACTThe choice of method of contractor compensation is a complex decision that should be taken by awarding authorities (AAs) based on a systematic and scientific examination of alternative options instead of the decision-maker's knowledge, experience and intuition. Little research work has been carried out that applies multi-criteria decision-making (MCDM) methods for the choice of contract type in the construction industry. This paper contributes to this area in research by presenting a comparative analysis of the application of the Technique for Order Preference by Similarity to Ideal Situation method and the multi attribute utility theory to the problem of choosing appropriate contract types for two pilot projects in Greece with varying characteristics and AA's needs. For each project, nine selection criteria (SC) were weighted by two experts using the analytical hierarchy process, the revised Simos’ method and goal programming. Based on the results, a decision support system for the choice of contract type for highway construction contractors in Greece is proposed which utilizes the experience of professionals from AAs in Greece and abroad and applies the above-mentioned MCDM methods.

The Feasibility of Sophisticated Multicriteria Support for Clinical Decisions.

Multicriteria decision-making (MCDM) methods are well-suited to serve as the foundation for clinical decision support systems. To do so, however, they need to be appropriate for use in busy clinical settings. We compared decision-making processes and outcomes of patient-level analyses done with a range of multicriteria methods that vary in ease of use and intensity of decision support, 2 factors that could affect their ease of implementation into practice. We conducted a series of Internet surveys to compare the effects of 5 multicriteria methods that differ in user interface and required user input format on decisions regarding selection of a preferred method for lowering the risk of cardiovascular disease. The study sample consisted of members of an online Internet panel maintained by Fluidsurveys, an Internet survey company. Study outcomes were changes in preferred option, decision confidence, preparation for decision making, the Values Clarification and Decisional Uncertainty subscales of the Decisional Conflict Scale, and method ease of use. The frequency of changes in the preferred option ranged from 9% to 38%, P < 0.001, and rose progressively as the level of decision support provided by the MCDM method increased. The proportion of respondents who rated the method as easy ranged from 57% to 79% and differed significantly among MCDM methods, P = 0.003, but was not consistently related to intensity of decision support or ease of use. Decision support based on MCDM methods is not necessarily limited by decreases in ease of use. This result suggests that it is possible to develop decision support tools using sophisticated multicriteria techniques suitable for use in routine clinical care settings.

Organizational change in quality management aspects: a quantitative proposal for classification

Periodically, organizations need to change the quality management aspects of processes and products in order to suit the demands of their internal and external (consumer and competitor market) environments. In the context of the present study, quality management changes involve tools, programs, methods, standards and procedures that can be applied. The purpose of this study is to help senior management to identify types of change and, consequently, determine how it should be correctly conducted within an organization. The methodology involves a classification model, with multicriteria support, and three organizational change ratings were adopted (the extremes, type I and type II, as confirmed in the literature, and the intermediary, proposed herein). The multicriteria method used was ELECTRE TRI and the model was applied to two companies of the Textile Local Productive Arrangement in Pernambuco, Brazil. The results are interesting and show the consistency and coherence of the proposed classification model.

A Multi-Criteria Support System for UAV Maritime Surveillance in a Highly Dynamic Environment

A Multi-Criteria Support System for UAV Maritime Surveillance in a Highly Dynamic Environment

Analysis Hierarchy Process in Real Problem Resolution in a Food Company

One of the most important aspects to be considered by Distribution Centers (DCs) is the improvement of the process in relation to the attributes of the service that is provided. The purpose of this article is to analyze various alternatives for the definition of a DC with the use of a method of multi-criteria support in decision making, more specifically, the Analytic Hierarchy Process (AHP) for the allocation and weighting of importance levels for structuring DCs. To further illustrate the process, a field study was conducted in a multinational company in the food sector. This enabled the identification of the best of three possible structures that were evaluated based on the criteria and sub-criteria targeted in the decision context. The results show that the cost and quality factors are primarily responsible for choosing the most appropriate alternative.

ANÁLISE DECISÓRIA MULTICRITÉRIO NA AVALIAÇÃO DA SUSTENTABILIDADE DOS MUNICÍPIOS DE SANTA CATARINA

The study focuses on the evaluation and measurement of the degree of environmental sustainability of municipalities in the State of Santa Catarina, through an analysis based on the Multi-criteria Support to the Decision (MSD). Its goal focuses on measuring the environmental performance of Santa Catarina municipalities, allowing identifying and comparing which cities can be considered sustainable or unsustainable within a geographical context. For that, it is based on the possibilities contained in methods of Multi-criteria Support: Displaced Ideal and TOPSIS (American School). The search is characterized, in relation to their objectives as descriptive, since it aims to rank the Santa Catarina municipalities. The results obtained show that Intergovernmental Transfer revenues of the Union and the State have an important role on the other indicators and dimensions. The assessment of sustainability of the municipalities is an immense interconnected system that calls for efficiency of the use of resources to lead to effectiveness of sustainability. The set of indicators requires effort and is the effective rational basis to direct public policies.

Feature-matching Pattern-based Support Vector Machines for Robust Peptide Mass Fingerprinting

Peptide mass fingerprinting, regardless of becoming complementary to tandem mass spectrometry for protein identification, is still the subject of in-depth study because of its higher sample throughput, higher level of specificity for single peptides and lower level of sensitivity to unexpected post-translational modifications compared with tandem mass spectrometry. In this study, we propose, implement and evaluate a uniform approach using support vector machines to incorporate individual concepts and conclusions for accurate PMF. We focus on the inherent attributes and critical issues of the theoretical spectrum (peptides), the experimental spectrum (peaks) and spectrum (masses) alignment. Eighty-one feature-matching patterns derived from cleavage type, uniqueness and variable masses of theoretical peptides together with the intensity rank of experimental peaks were proposed to characterize the matching profile of the peptide mass fingerprinting procedure. We developed a new strategy including the participation of matched peak intensity redistribution to handle shared peak intensities and 440 parameters were generated to digitalize each feature-matching pattern. A high performance for an evaluation data set of 137 items was finally achieved by the optimal multi-criteria support vector machines approach, with 491 final features out of a feature vector of 35,640 normalized features through cross training and validating a publicly available "gold standard" peptide mass fingerprinting data set of 1733 items. Compared with the Mascot, MS-Fit, ProFound and Aldente algorithms commonly used for MS-based protein identification, the feature-matching patterns algorithm has a greater ability to clearly separate correct identifications and random matches with the highest values for sensitivity (82%), precision (97%) and F1-measure (89%) of protein identification. Several conclusions reached via this research make general contributions to MS-based protein identification. Firstly, inherent attributes showed comparable or even greater robustness than other explicit. As an inherent attribute of an experimental spectrum, peak intensity should receive considerable attention during protein identification. Secondly, alignment between intense experimental peaks and properly digested, unique or non-modified theoretical peptides is very likely to occur in positive peptide mass fingerprinting. Finally, normalization by several types of harmonic factors, including missed cleavages and mass modification, can make important contributions to the performance of the procedure.

Fuzzy logic integration in the multi-criteria support decision

Fuzzy logic integration in the multi-criteria support decision

ANALYSIS OF CRITERIA SYSTEM MODEL FOR CONSTRUCTION CONTRACT EVALUATION

A number of multicriteria decisions must be made during construction investment processes. A number of support systems for multicriteria tasks of construction investment processes are available. Part of them is reviewed in this article. Effectiveness of the construction investment process is greatly influenced by an appropriate formulation of a construction contract. In order to formulate effective construction contract, multicriteria techniques for evaluation and comparison of the contracts must be created. Beside technical, organisational and economic aspects of construction, legal aspects of a construction contract must be also analysed in order to create such techniques. Therefore legal decision‐making systems are also reviewed in the article. A conclusion can be made from the review that decision‐making systems for construction contracts are not available currently. One of the main tasks in the creation of multicriteria support systems is the formation of a multicriteria indicator system. In this paper the structure of construction contracts are analysed and a hierarchical model of a construction contract is presented. Construction contracts have to be made evaluated and compared to this model. On the basis of this model, significance of indicators should be determined and a multicriteria decision support system should be created in further research stages.

MODELS OF INDICATOR SYSTEMS OF CONSTRUCTION CONTRACTION AGREEMENTS

A number of multicriteria decisions must be made during construction investment processes. A number of support systems for multicriteria tasks of construction investment processes are available. A part of them is reviewed in this article. Effectiveness of the construction investment process is greatly influenced by an appropriate formulation of a construction contraction agreement (CCA). In order to formulate the effective contraction agreements, multicriteria techniques for evaluating and comparing CCAs must be created. Besides technical, organisational and economic aspects of construction, legal aspects of a CCA must be also analysed in order to prepare such techniques. Therefore, legal decision making systems are also reviewed in the article. A conclusion can be made from the review that legal decision making systems for CCAs are not available currently. One of the main tasks in the creation of multicriteria support systems is the formation of a multicriteria indicator system. Three models of multicriteria indicator systems of CCAs are analysed in the article, and the best model for creating multicriteria evaluation technique is determined. On the basis of this model, significance of indicators should be determined and a multicriteria decision support system should be created in further research stages.

Multicriteria support for construction bidding

While profit maximization is one important objective in this decision domain, other objectives are important as well. This paper discusses multiple criteria and their respective objectives in construction bidding, and presents a bidding framework which recommends a pairwise comparison procedure to generate criterion weights and a linear transformation procedure to calculate relative scores for bidding alternatives. This hybrid multicriteria method is illustrated and evaluated using a set of past construction bids. The proposed bidding system is found to yield substantially improved solutions when work volume is highly important relative to expected profit. The corresponding decrease in the profit function is identified, allowing evaluation of expected profit foregone, in order that improved multiattribute functions might be attained.

Aide à la décision multicritère pour l'évaluation de performance

ABSTRACT A permanent evolution of industrial firms results from the research of competitiveness. This evolution is a significant factor for the development of new methods for controlling performance (Just in Time, Cost Kaizen, etc.). In the first part of this paper, some limitations of these methods and the problems of evaluating performance in the design phase are described. In the second part, we define the objective of this evaluation and we present the evaluation methodology of the physics and economics performances, the decisional aspects of the evaluation and the decisional model of the evaluation. Finally, the multicriteria support decision system implemented in the firm and the experimentation are analysed.