A stochastic multidimensional unfolding approach for representing phased decision outcomes

This paper presents a stochastic multidimensional unfolding (MDU) procedure to spatially represent individual differences in phased or sequential decision processes. The specific application or scenario to be discussed involves the area of consumer psychology where consumers form judgments sequentially in their awareness, consideration, and choice set compositions in a phased or sequential manner as more information about the alternative brands in a designated product/service class are collected. A brief review of the consumer psychology literature on these nested congnitive sets as stages in phased decision making is provided. The technical details of the proposed model, maximum likelihood estimation framework, and algorithm are then discussed. A small scale Monte Carlo analysis is presented to demonstrate estimation proficiency and the appropriateness of the proposed model selection heuristic. An application of the methodology to capture awareness, consideration, and choice sets in graduate school applicants is presented. Finally, directions for future research and other potential applications are given.     

Adaptive logics using the minimal abnormality strategy are $$\Pi^1_1$$ -complex

In this article complexity results for adaptive logics using the minimal abnormality strategy are presented. It is proven here that the consequence set of some recursive premise sets is -complete. So, the complexity results in (Horsten and Welch, Synthese 158:41–60, 2007) are mistaken for adaptive logics using the minimal abnormality strategy.     

Fresh Logic: proof-theory and semantics for FM and nominal techniques

In this paper we introduce Fresh Logic, a natural deduction style first-order logic extended with term-formers and quantifiers derived from the FM-sets model of names and binding in abstract syntax. Fresh Logic can be classical or intuitionistic depending on whether we include a law of excluded middle; we present a proof-normalisation procedure for the intuitionistic case and a semantics based on Kripke models in FM-sets for which it is sound and complete.     

The lure of choice

We report three studies demonstrating the ‘lure of choice’ people prefer options that allow them to take further choices over those that do not, even when the extra choices cannot improve the ultimate outcome. In Studies 1 and 2, participants chose between two options: one solitary item, and a pair of items between which they would then make a further choice. Consistent with the lure of choice, a given item was more likely to be the ultimate choice when it was initially part of a choice pair than when it was offered on its own. We also demonstrate the lure of choice in a four‐door version of the Monty Hall problem, in which participants could either stick with their original choice or switch to one of two unopened doors. Participants were more likely to switch if they could first ‘choose to choose’ between the two unopened doors (without immediately specifying which) than if they had to choose one door straightaway. We conclude by suggesting that the lure of choice is due to a choice heuristic that is very reliable in the natural world, but much less so in a world created by marketers. Copyright © 2003 John Wiley & Sons, Ltd.     

A Contextual-Hierarchical Approach to Truth and the Liar Paradox

This paper presents an approach to truth and the Liar paradox which combines elements of context dependence and hierarchy. This approach is developed formally, using the techniques of model theory in admissible sets. Special attention is paid to showing how starting with some ideas about context drawn from linguistics and philosophy of language, we can see the Liar sentence to be context dependent. Once this context dependence is properly understood, it is argued, a hierarchical structure emerges which is neither ad hoc nor unnatural.     

Innovative method to evaluate quality management system audit results’ using single value neutrosophic number

Using Quality Management System (QMS) enables the organization to fulfil its purpose and mission to meet customers and regulatory requirements and improve its effectiveness and efficiency on a continuous basis, Quality Audit is very critical tool to ensure that the standards, policies and/or procedures are applied in the organization as planned in QMS, in real world applications, the results of the Quality Audit process depend on the auditors’ human judgments that characterized with doubts sometimes, estimating values another times, and using general impressions in his judgment, which motivate to introduce for the first time the Neutrosophic Quality Audit (NQA) model which can be extended to manage and audit in the future. NQA will be used to enhance the way of evaluating the quality audit results while many uncertainty aspects and indeterminacy do exist, the proposed model using Single Value Neutrosophic Numbers (SVNN) which is an instance of neutrosophic set, to overcome the weakness of using a crisp value to present the result of the audit findings, in addition, using Simplified Neutrosophic Weighted Geometric Average Operator (SNWGAO), and cosine similarity degree, an illustrative example is provided to validate the proposed model.     

Multiple-attribute decision making based on single-valued neutrosophic Schweizer-Sklar prioritized aggregation operator

Single-valued neutrosophic (SVN) sets can successfully describe the uncertainty problems, and Schweizer-Sklar (SS) t-norm (TN) and t-conorm (TCN) can build the information aggregation process more flexible by a parameter. To fully consider the advantages of SVNS and SS operations, in this article, we extend the SS TN and TCN to single-valued neutrosophic numbers (SVNN) and propose the SS operational laws for SVNNs. Then, we merge the prioritized aggregation (PRA) operator with SS operations, and develop the single-valued neutrosophic Schweizer-Sklar prioritized weighted averaging (SVNSSPRWA) operator, single-valued neutrosophic Schweizer-Sklar prioritized ordered weighted averaging (SVNSSPROWA) operator, single-valued neutrosophic Schweizer-Sklar prioritized weighted geometric (SVNSSPRWG) operator, and single-valued neutrosophic Schweizer-Sklar prioritized ordered weighted geometric (SVNSSPROWG) operator. Moreover, we study some useful characteristics of these proposed aggregation operators (AOs) and propose two decision making models to deal with multiple-attribute decision making (MADM) problems under SVN information based on the SVNSSPRWA and SVNSSPRWG operators. Lastly, an illustrative example about talent introduction is given to testify the effectiveness of the developed methods.     

Learn locally, act globally: Learning language from variation set cues

Variation set structure - partial overlap of successive utterances in child-directed speech - has been shown to correlate with progress in children’s acquisition of syntax. We demonstrate the benefits of variation set structure directly: in miniature artificial languages, arranging a certain proportion of utterances in a training corpus in variation sets facilitated word and phrase constituent learning in adults. Our findings have implications for understanding the mechanisms of L1 acquisition by children, and for the development of more efficient algorithms for automatic language acquisition, as well as better methods for L2 instruction.     

Factors affecting responses to Likert type questionnaires: introduction of the ImpExp,a new comprehensive model

The major purpose of this paper is to propose a comprehensive model describing the effects of response sets within the theory framework of the stages of responding to questionnaires, and taking into account the effects of collectivist and individualist attributes within cross-cultural contexts. The introduction of this model aims to provide a construct that may help minimize biases in questionnaire-based research as well as providing new directions for theoretical and empirical research in the field of response sets.