A visualization approach for robustness analysis in multicriteria disaggregation–aggregation approaches

Spyridakos, Athanasios; Tsotsolas, Nikos; Siskos, Yannis; Yannakopoulos, Denis; Vryzidis, Isaak

doi:10.1007/s12351-018-0394-1

Cited by 6 publications

(2 citation statements)

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“…According to [51], robustness is a key issue in the field of decision-aiding, as well as in operations research. As a result, numerous researchers have recently addressed this issue [51][52][53][54][55][56][57][58][59][60][61][62] and have proposed the use of performance measures for classification and clustering methods [63,64]. The term robustness refers to a capacity for withstanding "vague approximations" and/or "zones of ignorance" to maintain certain properties [51].…”

Section: A Scenario Analysismentioning

confidence: 99%

An Outranking Multicriteria Method for Nominal Classification Problems with Minimum Performance Profiles

Silva

Gusmão

Costa

2019

Mathematical Problems in Engineering

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In recent years, nominal classification problems have gained importance, especially in the context of strategic management of organizations. In this sense, this paper presents a novel multicriteria nominal classification method, derived from the concepts of PROMETHEE, applied to use in problems characterized by minimum performance profiles (MMP) for the classes. The main advantages of this proposal are criterion and alternative flexibility for classes; robustness, because it uses the concepts of a well-known method (PROMETHEE); and usefulness, because many real situations are characterized by MMP for the classes. Moreover, a real-world example is presented: a retailer’s assignment in a bank, showing the applicability of the method. The proposal of a new multicriteria nominal classification method emerges from a need to devise a more flexible and realistic procedure for characterizing classes because the feature of criterion and alternative flexibility for classes has not been addressed in any extant multicriteria nominal classification procedure. The present proposal thereby endeavors to address this deficit in the multicriteria field.

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Section: A Scenario Analysismentioning

confidence: 99%

An Outranking Multicriteria Method for Nominal Classification Problems with Minimum Performance Profiles

Silva

Gusmão

Costa

2019

Mathematical Problems in Engineering

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“…When the datasets change, the pattern of visualization is also changed and the issue of matching and mismatching generates. References [31], [32], [33], and [34] reviewed and proposed the methods to assess the multicriteria robustness evaluation and data scientists and researchers. Scope 4 reviews the influence of researchers on big data environments and data visualization.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive State-of-the-Art Survey on Data Visualization Tools: Research Developments, Challenges and Future Domain Specific Visualization Framework

et al. 2022

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Data visualization is a powerful skill for the demonstration of meaningful data insights in an interactive and effective way. In this survey article, we collected 70 articles from last five years (2017)(2018)(2019)(2020)(2021)(2022) to identify, classify, and investigate the various scopes, aspects and theories of data visualization. We also investigated the powerful applications of data visualization in various domains and fields such as visualization apps for health sector, Internet of things (IoTs), business dashboards, urban traffic management, smart buildings and environmental data visualization. However, after thorough investigation and classification, we conclude that, a comprehensive study is still missing about interactive, effective and efficient data visualization survey explaining basic current state-of-the-art best interactive visualization techniques, webbased tools and platforms, best performance theories, data structures and algorithms. In this survey article, we perform a thorough investigation to fill the gap on theoretical, analytical, statistical models and techniques for improving the performance of visualization. Current primary and domain specific future challenges are also reviewed, and related future research directions and opportunities are recommended. 13 14 ''Interactive'' and ''Web-based'' are the most searched key-42 words during journals analysis process.43 A. TAXONOMY OF DATA VISUALIZATION ARTICLES 44 The taxonomy of data visualization is laborious task. Since, 45 several data visualization techniques, tools and platforms are 46 available to generate effective and interactive visualization. 47 However, in this survey, we classify data visualization with 48 respect to various scopes and applications where advanced 49 and interactive visualization techniques are still required to 50 make better informed decisions. In the first stage, this sur-51 vey collects 70 articles from last five years (2017-2022) 52 to identify the various scopes, aspects and application of 53 data visualization. We divide the 65 articles into 7 different 54 scopes. We also classify these articles according to their 55 domain research and approaches. The contribution of each 56 article has been highlighted and cited in the Table 1. In this 57 initial stage, this survey discusses the various aspects of 58 7 scopes. In Scope-1, the techniques to handling of various 59 types of data, graphs, colours interaction and its integration 60 are discussed. In Scope-2, the focus is on the data mining 61 networks, environment and structure. In Scope-3, the role of 62 decision-making techniques in data visualization is empha-63 sised. In Scope-4, data visualization for big data and its 64 emerging applications are analysed. Scope-5 shares the visu-65 alization competencies in data security. In Scope-6, the key 66 role of statistical analysis for visualization is explored. In the 67 final Scope-7, various applications are reviewed to check 68 the performance of visualization in specific domain. The 69 contribution of each sco...

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Preference Disaggregation Analysis: An Overview of Methodological Advances and Applications

Doumpos

Grigoroudis

Matsatsinis

et al. 2022

Multiple Criteria Decision Making

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A visualization approach for robustness analysis in multicriteria disaggregation–aggregation approaches

Cited by 6 publications

References 23 publications

An Outranking Multicriteria Method for Nominal Classification Problems with Minimum Performance Profiles

An Outranking Multicriteria Method for Nominal Classification Problems with Minimum Performance Profiles

A Comprehensive State-of-the-Art Survey on Data Visualization Tools: Research Developments, Challenges and Future Domain Specific Visualization Framework

Preference Disaggregation Analysis: An Overview of Methodological Advances and Applications

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