This paper presents a new interval type-2 fuzzy inference system to handle uncertainty using reduced-set vector learning mechanism based on hybrid kernels. Firstly, a novel concept, interval kernel, is proposed. It establishes a relationship between interval type-2 fuzzy membership and hybrid kernel. According to it, a particular interval type-2 fuzzy inference system is built, which abandons t...

A novel concept to balance and tradeoff between make-to-stock and make-to-order has been hybrid MTS/MTO production context. One of the most important decisions involved in the hybrid MTS/MTO environment is determining whether a product is manufactured to stock, to order, or hybrid MTS/MTO strategy. In this paper, a model based on analytic network process is developed to tackle the addressed dec...

Multi-period QoS evaluations have to be considered for obtaining a reliable decision in the service selection process. Besides, open and dynamic Internet environment increased the uncertainty of decision-making. To solve the above difficulties, this paper presents a novel hybrid data type (including real numbers, interval numbers, triangular fuzzy numbers and intuitionistic fuzzy numbers) QoS m...

This study aims to enrich and expand the conceptualization of IT governance by identifying the diversity of hybrid configurations and integration mechanisms and exploring the IT performance effects. While literature describes the prevailing configurations for formally allocating IT decision-making authority, previous studies have not addressed the complexity of hybrid configurations, the requir...

In real-world environments it is usually di cult to specify target operating conditions precisely. This uncertainty makes building robust classi cation systems problematic. We show that it is possible to build a hybrid classi er that will perform at least as well as the best available classi er for any target conditions. This robust performance extends across a wide variety of comparison framew...

In real-world environments it is usually diicult to specify target operating conditions precisely. This uncertainty makes building robust classiication systems problematic. We show that it is possible to build a hybrid classiier that will perform at least as well as the best available classiier for any target conditions. This robust performance extends across a wide variety of comparison framew...

This paper address a novel method for nonholonomic Wheeled Mobile Robot (NWMR) trajectory tracking using a hybrid controller. In the essential of the proposed scheme, hybrid algorithm includes fuzzy logic based Regulation, Pole-Placement and Tracking (F-RST). The hybrid controller easily track the reference trajectory and linearize the nonlinear behavior of robot under the influence of uncertai...

In real-world environments, it is usually diicult to specify target operating conditions precisely. This uncertainty makes building robust classiication systems problematic. We show that it is possible to build a hybrid classiier that will perform at least as well as the best available classiier for any target conditions. This robust performance extends across a wide variety of comparison frame...

Organizations owning a datacenter and leasing resources from public clouds need to efficiently manage this heterogeneous infrastructure. In order to do that, automatic management of processing, storage, and networking is desirable to support the use of both private and public cloud resources at the same time, composing the so-called hybrid cloud. In this chapter, the authors introduce the hybri...

The stochastic hybrid systems constitute well established classes of realistic models of hybrid discrete/continuous dynamics subject to random perturbations, autonomous uncontrollable transitions, nondeterminism or uncertainty. Stochastic reachability analysis is a key factor in the verification and deployment of stochastic hybrid systems. The encouraging recent progress prompts us to refine th...