Log in

+34 977 759833sigef@urv.cat

FUZZY ECONOMIC REVIEW

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

Volume 23, Number 2, 2018

UTILIZING INTERVALS OF VALUES IN MODELING DUE TO DIVERSITY OF MEASUREMENTS

Eli Shnaider. Peres Academic Center, Israel

Arthur Yosef. Tel Aviv-Yaffo Academic College, Israel

Model-building professionals are often facing a very difficult choice of selecting relevant variable/s from a set of several similar variables. All those variables are supposedly representing the same factor but are measured differently. They are based on different methodologies, baselines, conversion/comparability methods, etc., thus leading to substantial differences in numerical…
Read more...

DEVELOPING A GENERALIZED FUZZY MULTI-CRITERIA DECISION MAKING FOR PERSONNEL SELECTION

Nguyen Anh Tuan. Hanoi University of Natural Resources and Environment, Hanoi

This paper proposes an extension of fuzzy multi-criteria decision making (MCDM) method for supporting the personnel selection process. In the proposed method, the ratings of various alternatives versus various subjective criteria and the weights of all criteria are assessed in linguistic terms represented by generalized fuzzy numbers. Then, the weighted…
Read more...

NON-ADDITIVE MULTIPLE CRITERIA APPROACH FOR THE EVALUATION OF INTERNATIONAL CLIMATE THINK TANKS

L. Farnia. Centro Euro-Mediterraneo sui Cambiamenti Climatici, Bologna (Italy). Fondazione Eni Enrico Mattei and International Center for Climate Governance, Venice, Italy

S. Giove. Centro Euro-Mediterraneo sui Cambiamenti Climatici, Bologna (Italy). Fondazione Eni Enrico Mattei and University Cà Foscari, Venice, Italy

M. Khoroshiltseva. University Cà Foscari, Venice, Italy

This paper outlines the application of non-additive measures and Choquet integral in the construction of a composite indicator to assess the performance of international climate think tanks and evaluate their influence in shaping climate policies and raising awareness among the general public. The composite index consists of 15 carefully selected…
Read more...

HOTEL GUESTS´ SATISFACTION: A SEGMENTATION ANALYSIS BASED ON AGE AND GENDER USING TOPSIS FUZZY METHODOLOGY

J. C. Martín. Department of Applied Economic Analysis. Institute of Tourism and Sustainable Economic Development. University of Las Palmas de Gran Canaria, Spain

M. V. Sánchez-Rebull. Department of Business Management. University Rovira i Virgili, Spain

V. Rudchenko. Department of Management. National Research University Higher School of Economics, Russia

Guest’s satisfaction in the hotel industry cannot be easily measured because these constructs depend on multiple intangible attributes that can be evaluated very differently by distinct market segments. In this paper, the satisfaction experienced by different market segments based on age and gender is evaluated by the use of a…
Read more...

Log in or Sign up