Decision-making criteria for intelligent control of dual-arm robots with cooperating manipulators

1993 ◽  
Author(s):  
Daniel J. Cox ◽  
Delbert Tesar
Author(s):  
Igor Klimenko ◽  
A. Ivlev

The study carried out in this work made it possible to expand the rank scale for a priori assessment of the chosen strategy in terms of increasing the sensitivity of assessing the caution / negligence ratio using risky, as well as classical decision-making criteria under conditions of statistical uncertainty.


Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2617
Author(s):  
Catalin Dumitrescu ◽  
Petrica Ciotirnae ◽  
Constantin Vizitiu

When considering the concept of distributed intelligent control, three types of components can be defined: (i) fuzzy sensors which provide a representation of measurements as fuzzy subsets, (ii) fuzzy actuators which can operate in the real world based on the fuzzy subsets they receive, and, (iii) the fuzzy components of the inference. As a result, these elements generate new fuzzy subsets from the fuzzy elements that were previously used. The purpose of this article is to define the elements of an interoperable technology Fuzzy Applied Cell Control-soft computing language for the development of fuzzy components with distributed intelligence implemented on the DSP target. The cells in the network are configured using the operations of symbolic fusion, symbolic inference and fuzzy–real symbolic transformation, which are based on the concepts of fuzzy meaning and fuzzy description. The two applications presented in the article, Agent-based modeling and fuzzy logic for simulating pedestrian crowds in panic decision-making situations and Fuzzy controller for mobile robot, are both timely. The increasing occurrence of panic moments during mass events prompted the investigation of the impact of panic on crowd dynamics and the simulation of pedestrian flows in panic situations. Based on the research presented in the article, we propose a Fuzzy controller-based system for determining pedestrian flows and calculating the shortest evacuation distance in panic situations. Fuzzy logic, one of the representation techniques in artificial intelligence, is a well-known method in soft computing that allows the treatment of strong constraints caused by the inaccuracy of the data obtained from the robot’s sensors. Based on this motivation, the second application proposed in the article creates an intelligent control technique based on Fuzzy Logic Control (FLC), a feature of intelligent control systems that can be used as an alternative to traditional control techniques for mobile robots. This method allows you to simulate the experience of a human expert. The benefits of using a network of fuzzy components are not limited to those provided distributed systems. Fuzzy cells are simple to configure while also providing high-level functions such as mergers and decision-making processes.


2015 ◽  
Vol 4 (2) ◽  
pp. 216-239
Author(s):  
Olga Torres-Hostench ◽  
Ramon Piqué Huerta ◽  
Pilar Cid Leal

EULAs (End-User License Agreements) present specific translation challenges, ones contingent on how the EULAs will be used. In a recent study, the decisions made by forty-seven translation students while translating a EULA were observed and analyzed. The aim of the study was threefold: (1) to observe the criteria used for decision-making when translating a EULA; (2) to observe how decision-making criteria changed after using specific resources designed for translating EULAs (lawcalisation.com); and (3) to evaluate the overall usefulness of the lawcalisation.com resource. Results suggest that by providing translators with a single website portal of specific resources, they were able not only to find the equivalents they needed but also to consult the relevant legal and translation information that ultimately helped them develop more solid criteria for translation decision-making. Decisions were guided by principles of law applicability, terminology, legislation, and translation studies Skopos theories.


2020 ◽  
Vol 34 (4) ◽  
pp. 694-703
Author(s):  
Maria Luciana Zequim Colado ◽  
Letícia Koutchin Reis ◽  
Angélica Guerra ◽  
Bruno Henrique dos Santos Ferreira ◽  
Diego Rezende Fonseca ◽  
...  

2019 ◽  
Vol 9 (1) ◽  
pp. 114-127 ◽  
Author(s):  
Ewa Wiecek-Janka ◽  
Marcin Nowak ◽  
Arkadiusz Borowiec

PurposeThis paper is a part of the application trend of the development of the grey systems theory. The purpose of this paper is to present the use of the GDM model in the diagnosis of the occurrence of crises in family businesses. The issue of the occurrence of conflicts and crises in family businesses is one of the most important and common in management science in Poland.Design/methodology/approachIn the paper using the GDM model (in which the weights of the criteria were determined using the modified Thurstone method), the authors presented a way to diagnose the occurrence of crises in family businesses for a sample of Polish family businesses using, among others, a questionnaire-based survey.FindingsAs a result of the conducted research, it turned out that in eight surveyed businesses no symptoms of conflicts were diagnosed. In three businesses, the symptoms of conflicts were diagnosed, but they did not threaten their existence. In the case of four businesses, the symptoms of crisis that threaten their existence were diagnosed and immediate remedial action was recommended to them.Originality/valueThe authors are of the opinion that the presented research results may be a reason for the validity of using the GDM model in the diagnosis of crises in family businesses. At the same time, it is recommended to undertake further research on,inter alia, conflict fields in family businesses, or on the use of the modified Thurstone method as a part of determining the validity of decision-making criteria in GDM models.


Author(s):  
Reza Farzipoor Saen

The use of Data Envelopment Analysis (DEA) in many fields is based on total flexibility of the weights. However, the problem of allowing total flexibility of the weights is that the values of the weights obtained by solving the unrestricted DEA program are often in contradiction to prior views or additional available information. Also, many applications of DEA assume complete discretionary of decision making criteria. However, they do not assume the conditions that some factors are nondiscretionary. To select the most efficient third-party reverse logistics (3PL) provider in the conditions that both weight restrictions and nondiscretionary factors are present, a methodology is introduced. A numerical example demonstrates the application of the proposed method.


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