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Wyszukujesz frazę "fuzzy ranking" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
A fuzzy ranking of negotiation packages for the INSPIRE negotiation support system
Autorzy:
Piasecki, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/2183433.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
preference visualization
fuzzy ranking
negotiation problem
negotiation offer scoring system
Opis:
Preferential information may be visualized in many different ways, and this constitutes an important issue in the principal- agent decision-making context, e.g., in representative negotiations. In the INSPIRE negotiation support system, the principal’s preferences are visualized by circles with different radii. Agents evaluate the principal’s preferences in such a manner that they digitize these preferences using numbers directly proportional to the size of the circles, drawn by the principal. The manner, in which an agent understands the concept of the circle size is unknown. The main goal of this paper is to propose such an image of principal’s preferences, which is independent of an individual agent’s evaluation. Individual negotiators may differ in their understanding of this concept. This means that the notion of “circle size” is a linguistic variable that may be described by a fuzzy set. The empirical studies referred to show that the size of the circle is a value between the radius and the area of this circle. In this paper, the principal’s preferences are defined as a fuzzy preorder between fuzzy “circle sizes”. We distinguish here two kinds of the INSPIRE method. All considerations are illustrated by means of a short case study based on INSPIRE data.
Źródło:
Control and Cybernetics; 2021, 50, 1; 69--82
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Measuring agility of indian automotive small & medium sized enterprises (SMEs)
Autorzy:
Tiwari, Rupesh Kumar
Tiwari, Jeetendra Kumar
Powiązania:
https://bibliotekanauki.pl/articles/407171.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
exploratory factor analysis
multiple regression analysis
fuzzy logic
fuzzy integrated index
FII
fuzzy performance index
FPII
fuzzy ranking
Opis:
Indian SMEs are going to play pivotal role in transforming Indian economy and achieving double digit growth rate in near future. Performance of Indian SMEs is vital in making India as a most preferred manufacturing destination worldwide under India’s “Make in India Policy”. Current research was based on Indian automotive SMEs. Indian automotive SMEs must develop significant agile capability in order to remain competitive in highly uncertain global environment. One of the objectives of the research was to find various enablers of agility through literature survey. Thereafter questionnaire administered exploratory factor analysis was performed to extract various factors of agility relevant in Indian automotive SMEs environment. Multiple regression analysis was applied to assess the relative importance of these extracted factors. “Responsiveness” was the most important factor followed by “Ability to reconfigure”, “Ability to collaborate”, and “Competency”. Thereafter fuzzy logic bases algorithm was applied to assess the current level of agility of Indian automotive SMEs. It was found as “Slightly Agile”, which was the deviation from the targeted level of agility. Fuzzy ranking methodology facilitated the identification & criticalities of various barriers to agility, so that necessary measures can be taken to improve the current agility level of Indian automotive SMEs. The current research may helpful in finding; key enablers of agility, assessing the level of agility, and ranking of the various enablers of agility to point out the weak zone of agility so that subsequent corrective action may be taken in any industrial environment similar to India automotive SMEs.
Źródło:
Management and Production Engineering Review; 2019, 10, 1; 58-67
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
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