The task of a standard fuzzy logic controller is to find a crisp control action from the fuzzy rulebase and from a set of crisp inputs. In this paper we propose an extension of this type of reasoning using Mobile Agents which works with crisp data, intervals and/or linguistic terms as inputs and with various matching methods. For any matching one obtain a crisp value as output using Slave Agent...

It is well-known that if T is a Dm–Dn bimodule map on the m×n complex matrices, then T is a Schur multiplier and ‖T‖cb = ‖T‖. If n = 2 and T is merely assumed to be a right D2-module map, then we show that ‖T‖cb = ‖T‖. However, this property fails if m ≥ 2 and n ≥ 3. For m ≥ 2 and n = 3, 4 or n ≥ m2 we give examples of maps T attaining the supremum C(m,n) = sup{‖T‖cb : T a right Dn-module map o...

The present paper is devoted to the transition from crisp domains of probability to fuzzy domains of probability. First, we start with a simple transportation problem and present its solution. The solution has a probabilistic interpretation and it illustrates the transition from classical random variables to fuzzy random variables in the sense of Gudder and Bugajski. Second, we analyse the proc...

In a binary choice voting scenario, voters may have fuzzy preferences but are required to make crisp choices. In order to compare a crisp voting procedure with more general mechanisms of fuzzy preference aggregation, we first focus on the latter. We present a formulation of strategy-proofness in this setting and study its consequences. On one hand, we achieve an axiomatic recommendation of the ...

Emission from the 212 − 111 line of H2CO has been detected and marginally resolved toward LkCa15 by the Nobeyama Millimeter Array. The column density of H2CO is higher than that observed in DM Tau and than predicted by theoretical models of disk chemistry, and the line intensity profile is less centrally peaked than that for CO. Similar behavior is observed in other organic gaseous molecules in...

COVID-19 has caused an economic crisis in the business world, leaving limitations continuity of payment chain, with companies resorting to credit access. This study aimed determine optimal machine learning predictive model for risk under Reactiva Peru Program because COVID-19. A multivariate regression analysis was applied four regressor variables (economic sector, granting entity, amount cover...

The Rand index is a measure commonly used to compare crisp partitions. Campello (2007) and Hüllermeier and Rifqi (2009) respectively, proposed two extensions of this index capable to compare fuzzy partitions. These approaches are useful when continuous values of attributes are discretized using fuzzy sets. In previous works we experimented with these extensions and compared their accuracy with ...

Prediction is one of the methods in data mining. One models that can be used prediction using linear regression. Linear regression to make predictions on has been provided. In this study, a model was made with datasheet containing affected student achievement achieving final exam scores. The developed predict test uses public datasheet, namely student_performance.csv. consists 395 records and 3...