Log in

+34 977 759833sigef@urv.net


ISSN (print) 1136-0593 · ISSN (online) 2445-4192


Aggregation methods for fuzzy judgments

Ayesha Syed

Ismat Beg

Asma Khalid

Arrow (1963) established that a group cannot always reach logically consistent collective outcome. Subsequently many developments like premise based, conclusion based and distance based methods have emerged in literature to reach group consistency. This study is focused on the judgment aggregation in fuzzy logic based setting with novel involvement of…

A formalization of the theory of expertons. theoretical foundations, properties and development of software for its calculation

J.C. Ferrer Comalat

S. Linares Mustarós

D. Corominas Coll

The aim of this article is to present in a formal way the concept of the experton, which is commonly used in practice, and use this formalization to justify its properties and the equivalence between the concept of mathematical expectation of an experton and the expectation of expressed opinions. The…

Crude oil market and geopolitical events: an analysis based on information-theory-based quantifiers

Aurelio F. Bariviera

Luciano Zunino

Osvaldo A. Rosso

This paper analyzes the informational efficiency of oil market during the last three decades, and examines changes in informational efficiency with major geopolitical events, such as terrorist attacks, financial crisis and other important events. The series under study is the daily prices of West Texas Intermediate (WTI) in USD/BBL, commonly…

Simulation decomposition: new approach for better simulation analysis of multi-variable investment projects

M. Kozlova

M. Collan

P. Luukka

This paper presents a new method to enhance simulation-based analysis of complex investments that contain multi-variable uncertainty. The method is called “simulation decomposition”. Typically the result of simulation-based investment analysis is in the form of histogram distributions - here we propose a method for first classifying the possible outcomes of…

Fuzzy grouping variables in economic analysis. a pilot study of a verification of a normative model for r&d alliances

A. Morreale

J. Stoklasa

T. Talášek

Many of the investments decisions facing with uncertainty can be characterized as real options problems. There is evidence of deviation from the predictions derived using such normative models. The proposed research sheds light on the importance of integrating normative models with experimental methods in order to predict and explain such…

Log in or Sign up

Cron Job Starts