404 research outputs found

    R.Fuller, Interdependence in fuzzy multiple objective programming,

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    Abstract In multiple objective programs [MOP], application functions are established to measure the degree of fulfillment of the decision maker's requirements (achievement of goals, nearness to an ideal point, satisfaction, etc.) about the objective functions (see e.g

    Dynamically Assessing the Intertwined Influences of ISD Project Risk Factors

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    This study aims to adopt an approach for assessing the mutual influences of risk factors on information system development project transferring from initialization to the control phases. Given that risks evolve dynamically, the variations of the degrees of risk influences throughout the development process of information system project must be analyzed so that effective risk management strategies can be devised in a cost-effective way at the right stage. Therefore, our study applies Decision Making Trial and Evaluation Laboratory to quantitatively assess the interdependencies among the risk factors for each project development phase. An application conducted in a private, medium-scale university in Taiwan is demonstrated. The results suggest the directions for possible improvements of risk management during university information system development process

    Analysis and review on fuzzy evaluation of the performance

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    In modern conditions a comprehensive analysis of development trends and their effectiveness in various areas of human activity increasingly requires the analysis of data accumulated in numerous documents stored on the global network. Such an analysis is based on annual results in many areas of research, time trends and keywords. This analysis has certain peculiarities: it requires an analysis of not always accurate numerical information, comparison of qualitative indicators, obtaining both qualitative and quantitative characteristics, as well as the use of reference information for researchers and decision makers in related fields. In this regard, in recent years, a fuzzy assessment based on fuzzy mathematics is increasingly used in all types of assessing the effectiveness of various activities. The paper deals with conducting a bibliometric study based on the Extended Science Citation Index (SCI-E) and fuzzy performance measures to understand research trends and areas of focus. This paper takes the relevant scientific papers in Web of Science database as the research object, and analyzes the research trends with the help of bibliometrics. The results show that the number of papers published in the world is on the rise. The number of papers published in China and Iran is higher than that in other countries and regions. However, the number of papers cited in the United States and Turkey is higher than that in other countries or regions. Islamic Azad University is the largest. The research topics focus on fuzzy sets, fuzzy logic, genetic algorithms and performance evaluation. The research hotspots before 2011 included expert systems, neuro-fuzzy systems, and pattern recognition. After 2011, the research hotspots became neural networks, fuzzy sets, and machine learning

    Quantitative and Qualitative Models for Managing Risk Interdependencies in Supply Chain

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    The interdependent nature of supply chain elements and events requires risk systems must be assessed as an interrelated framework to optimize their management and integrate effectively with other decision-making tools in uncertain environments. This research shows a synthesis and analysis of the main qualitative/quantitative methods that have been used in the literature considering the treatment of event dependencies in supply chain risk management in the period 2003– 2018. The results revealed that the integration with disruption analysis tools and artificial intelligence methods are the most common types adopted, with increasing trend and effectiveness of Bayesian and fuzzy theory approache

    A Multicriteria Model to Evaluate Strategic Plans for the Nautical and Naval Industry in Cartagena de Indias, Colombia

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    [EN] The evaluation of urban development plans is a key concern of the strategic planning of the city of Cartagena de Indias (Colombia) due to the pressure exerted by both public and private sectors. Any strategic planning requirement deserves the inclusion of clear terms of coordination and cooperation among sectors, including local communities and the scientific sector. In this paper, we present a methodology for the sustainable evaluation of strategic nautical and naval projects for the development of the city of Cartagena de Indias. The methodology is based on the multicriteria technique Analytic Network Process, which allows considering political, socio-cultural and environmental aspects. The aim is to provide answers and guide the decision makers towards the optimal selection of strategies. Results provide some important insights into the overall conception of what sustainable evaluation means for the experts consulted. The procedure enhances participation and transparency and becomes a support for their decisions.The authors would like to thank the "Bolivar Gana con Ciencia" project from the Gobernacion de Bolivar (Colombia) for the financial support. Special thanks are also extended to the experts for their enthusiastic cooperation, which made this study possible.Gonzalez-Urango, H.; García-Melón, M. (2017). A Multicriteria Model to Evaluate Strategic Plans for the Nautical and Naval Industry in Cartagena de Indias, Colombia. Sustainability. 9(4). https://doi.org/10.3390/su9040653S9

    Decision support system for project monitoring portfolio

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    Vallejo Antich, RA. (2010). Decision support system for project monitoring portfolio. http://hdl.handle.net/10251/8632.Archivo delegad

    Architecture value mapping: using fuzzy cognitive maps as a reasoning mechanism for multi-criteria conceptual design evaluation

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    The conceptual design phase is the most critical phase in the systems engineering life cycle. The design concept chosen during this phase determines the structure and behavior of the system, and consequently, its ability to fulfill its intended function. A good conceptual design is the first step in the development of a successful artifact. However, decision-making during conceptual design is inherently challenging and often unreliable. The conceptual design phase is marked by an ambiguous and imprecise set of requirements, and ill-defined system boundaries. A lack of usable data for design evaluation makes the problem worse. In order to assess a system accurately, it is necessary to capture the relationships between its physical attributes and the stakeholders\u27 value objectives. This research presents a novel conceptual architecture evaluation approach that utilizes attribute-value networks, designated as \u27Architecture Value Maps\u27, to replicate the decision makers\u27 cogitative processes. Ambiguity in the system\u27s overall objectives is reduced hierarchically to reveal a network of criteria that range from the abstract value measures to the design-specific performance measures. A symbolic representation scheme, the 2-Tuple Linguistic Representation is used to integrate different types of information into a common computational format, and Fuzzy Cognitive Maps are utilized as the reasoning engine to quantitatively evaluate potential design concepts. A Linguistic Ordered Weighted Average aggregation operator is used to rank the final alternatives based on the decision makers\u27 risk preferences. The proposed methodology provides systems architects with the capability to exploit the interrelationships between a system\u27s design attributes and the value that stakeholders associate with these attributes, in order to design robust, flexible, and affordable systems --Abstract, page iii

    Subjective stakeholder dynamics relationships treatment: a methodological approach using fuzzy decision-making

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    Since the stakeholder theory was proposed to explain the interaction among its agents, extensive approaches have been developed. However, the literature continues to suggest the development of new methodologies that allow an analysis of the dynamics and uncertainty of the relationships between each agent. In this sense, this research proposes a novel methodology for the treatment of subjective stakeholder dynamics using fuzzy decision-making. The study proposes a mathematical methodological perspective for the treatment of subjective relationships among stakeholders, which allows a predictive simulation tool to be developed for attitude and personal preferences to analyze the links among all stakeholders. (...
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