This paper considers a capacitated vehicle routing problem with fuzzy random travel time and demand (FRVRP). A chance-constrained multiobjective programming is presented based on fuzzy random theory and converted to a crisp equivalent models under some assumptions. To solve such a multiobjective combinatorial optimization problem, this paper presents a hybrid multiobjective particle swarm optim...

A correct social media strategy is essential for travel agencies working in today's global market to reach customers. The travel industry is a service-oriented industry, and travel agencies can easily reach their customers on social media by transforming their marketing strategies at no extra costs. There are so many options that a travel agency can use to make itself more visible on social med...

Abstract: Short-term prediction of traffic flow is central to alleviating congestion and controlling the negative impacts of environmental pollution resulting from vehicle emissions on both interand intra-urban highways. The strong need to monitor and control congestion time and costs for metropolis in developing countries has therefore motivated the current study. This paper establishes the ap...

This paper studies capacitated single-allocation hub covering location problem with fuzzy cover radius and travel time. Objective of hub covering problem is to find the minimum number of hubs considering the maximum allowable travel time. Computational results show that due to uncertainty, number of hubs and the allocation of non-hub nodes to hub nodes are changed. This paper proposes heuristic...

This paper introduces a methodology for route choice based on fuzzy preference relations. The core of the model is FiPV (Fuzzy-individuelle Präferenzen von Verkehrsteilnehmern or fuzzy traveler preferences), that is a choice function based on fuzzy pairwise comparisons for travel decisions. The proposed model may be the first application of fuzzy individual (preference-based) choice in travel d...

This article explores the development of previous models to determine hubs in a competitive environment. In this paper, by comparing parameters of the ticket price, travel time and the service quality of hub airports, airline hubs are divided into six categories. The degree of importance of travel time and travel cost are determined by a multivariate Lagrange interpolation method, which can pla...

Travel time is widely recognized as an important performance measure for assessing transportation system, it is a meaningful parameter in theory and practice. Previous researches about travel time mainly focus on two areas: first, the research object is the unit of the transportation network, and there is little research on the area transportation network travel time; second, previous researche...

Quality management is a very important element within an effective travel website. One of the most important components of quality management is to maintain the service quality of travel websites. Thus, selecting an effective and appropriate customer-driven evaluation model of travel website service quality (TWSQ) measurement key indicators is an important issue for improving a close and long t...

Data mining is used to extract useful information hidden in the data. Sometimes this extraction of information leads to revealing sensitive information. Privacy preservation in Data Mining is a process of sanitizing sensitive information. This research focuses on sanitizing sensitive rules discovered in quantitative data. The proposed scheme, Privacy Preserving in Fuzzy Association Rules (PPFAR...