Evaluating the destination management performance of small islands with the fuzzy best-worst method and fuzzy simple additive weighting

Bibliographic Data

ID21698752
AuthorsKafferine Yamagishi (0000-0002-0775-6156, Cebu Technological University), Cecil Gantalao (0000-0003-2893-6911, University of San Carlos), Ann Myril Tiu (0000-0002-1086-5820, Cebu Technological University), Reciel Ann Cullano (0000-0001-9165-2669, Cebu Technological University), Reciel Ann B Tanaid (Cebu Technological University), Maria Esther Medalla (0000-0002-6630-0482, Cebu Technological University), Dharyll Prince M Abellana (0000-0002-2397-556X, Cebu Technological University), Egberto Selerio (0000-0002-7326-3819, Cebu Technological University), Liliana Ocampo (0000-0002-5050-7606, Cebu Technological University, corresponding author)
Year2023
Volume26
Issue8
Pages1224-1253
Publication date2023-04-18
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueCurrent Issues in Tourism (JOURNAL)
Journal identifiersISSN: 1368-3500 • E-ISSN: 1747-7603
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/13683500.2022.2054404
OpenAlexW4221122967
LanguageEN
Citations received1
References cited103

This work combines the fuzzy best-worst method for assigning weights of indicators and the fuzzy simple additive weighting method for evaluating performance, along with the TALC model, in generating a single-valued index that would holistically describe the performance of a destination (e.g. small islands). Grounded on a real-world application, the evaluation process proved useful in evaluating the performance of Bantayan Island (Philippines), with a high degree of flexibility in dealing with variations of domain applications with different groups of decision-makers in different settings. The findings, although highly case-specific, offer starting points of discussion in managing small island destinations

Data mining · Destinations · Fuzzy logic · Geography · Operations research · Statistics · Tourism · Weighting · Computer Science · Cruise Tourism Development and Management · Maritime Ports and Logistics · Mathematics · Multi-Criteria Decision Making · Artificial Intelligence

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