This paper offers comments on the single-loop decision-making model. The underpinning theoretical bases of such a model are assessed. The role of information quality is hypothesized in relation to customer relationship management decision making in the context of a data warehouse. The importance of learning aspects of decision making is explained. A focus group was set up in order to (1) valida...

Background: Prevalence of obesity in the world, in both developed and developing countries, is growing rapidly. Bariatric surgery is now accepted as the treatment for morbid obesity. Objective: This study compares laparoscopic sleeve gastrectomy's effectiveness (LSG) with the most common bariatric surgery, laparoscopic Roux-en-Y (LRYGB) gastric bypass.   Methods: A systematic review ...

Hierarchical structures and uncertainty measures are two main aspects in granular computing, approximate reasoning and cognitive process. Typical hesitant fuzzy sets, as a prime extension of fuzzy sets, are more flexible to reflect the hesitance and ambiguity in knowledge representation and decision making. In this paper, we mainly investigate the hierarchical structures and uncertainty measure...

Inconsistency and partial information is the norm in knowledge bases used in many real world applications that support, among other things, human decision making processes. In this work we argue that the management of this kind of data needs to be context-sensitive, creating a synergy with the user to build useful, flexible data management systems.

The problem of merging multiple sources information is central in many information processing areas such as databases integration problems, multiple criteria decision making, expert opinion pooling, etc. Recently, several approaches have been proposed to merge classical propositional bases, or sets of (non-prioritized) goals. These approaches are in general semantically defined. Like in belief ...

We present a mechanism for recovering consistent data from inconsistent set of assertions. For a common family of knowledge-bases we also provide an efficient algorithm for doing so automaticly. This method is nonmonotonic and paraconsistent. It is particularly useful for making diagnoses on faulty devices. Subject areas: Knowledge-based systems, Non-standard logics for AI, Reasoning under unce...

This paper introduces the idea of drawing upon the cognitive neuroscience literature to inform IS research (herein termed “NeuroIS”). Recent advances in cognitive neuroscience are uncovering the neural bases of cognitive, emotional, and social processes, and they offer new insights into the complex interplay between IT and information processing, decision-making, and behavior among people, orga...

g-frames in hilbert spaces are a redundant set of operators which yield a repre-sentation for each vector in the space. in this paper we investigate the connection betweeng-frames, g-orthonormal bases and g-riesz bases. we show that a family of bounded opera-tors is a g-bessel sequences if and only if the gram matrix associated to its de nes a boundedoperator.

We present a four-valued approach for recovering consistent data from inconsistent set of assertions. For a common family of knowledge-bases we also provide an eecient algorithm for doing so au-tomaticly. This method is particularly useful for making model-based diagnoses.