9 research outputs found
Fuzzy Color Space for Apparel Coordination
Human perception of colors constitutes an important part in color theory. The applications of color science are truly omnipresent, and what impression colors make on human plays a vital role in them. In this paper, we offer the novel approach for color information representation and processing using fuzzy sets and logic theory, which is extremely useful in modeling human impressions. Specifically, we use fuzzy mathematics to partition the gamut of feasible colors in HSI color space based on standard linguistic tags. The proposed method can be useful in various image processing applications involving query processing. We demonstrate its effectivity in the implementation of a framework for the apparel online shopping coordination based on a color scheme. It deserves attention, since there is always some uncertainty inherent in the description of apparels
Sistema automático de recomendación de outfits utilizando visión por computador y técnicas de aprendizaje de maquinas con un guardarropas personalizado
Decidir cómo combinar la ropa es un problema que afrontamos día a día, pocos tenemos la habilidad de saber qué va bien con qué pero a todos nos interesa vernos bien. La dificultad de abordar este problema es alta ya que para entrenar un modelo que pueda tomar decisiones de coordinación correctas es necesario previamente segmentar cada imagen, extraer características de esta y ensamblarlas. De acuerdo a esto se construye una base de datos con ayuda de una diseñadora de modas, en la cual se tiene el rating para miles de combinaciones de prendas..
Z-Numbers-Based Approach to Hotel Service Quality Assessment
In this study, we are analyzing the possibility of using Z-numbers for
measuring the service quality and decision-making for quality improvement in the
hotel industry. Techniques used for these purposes are based on consumer evalu-
ations - expectations and perceptions. As a rule, these evaluations are expressed
in crisp numbers (Likert scale) or fuzzy estimates. However, descriptions of the
respondent opinions based on crisp or fuzzy numbers formalism not in all cases
are relevant. The existing methods do not take into account the degree of con-
fidence of respondents in their assessments. A fuzzy approach better describes
the uncertainties associated with human perceptions and expectations. Linguis-
tic values are more acceptable than crisp numbers. To consider the subjective
natures of both service quality estimates and confidence degree in them, the two-
component Z-numbers Z = (A, B) were used. Z-numbers express more adequately
the opinion of consumers. The proposed and computationally efficient approach
(Z-SERVQUAL, Z-IPA) allows to determine the quality of services and iden-
tify the factors that required improvement and the areas for further development.
The suggested method was applied to evaluate the service quality in small and
medium-sized hotels in Turkey and Azerbaijan, illustrated by the example
Fuzzy Techniques for Decision Making 2018
Zadeh's fuzzy set theory incorporates the impreciseness of data and evaluations, by imputting the degrees by which each object belongs to a set. Its success fostered theories that codify the subjectivity, uncertainty, imprecision, or roughness of the evaluations. Their rationale is to produce new flexible methodologies in order to model a variety of concrete decision problems more realistically. This Special Issue garners contributions addressing novel tools, techniques and methodologies for decision making (inclusive of both individual and group, single- or multi-criteria decision making) in the context of these theories. It contains 38 research articles that contribute to a variety of setups that combine fuzziness, hesitancy, roughness, covering sets, and linguistic approaches. Their ranges vary from fundamental or technical to applied approaches
Supply Chain
Traditionally supply chain management has meant factories, assembly lines, warehouses, transportation vehicles, and time sheets. Modern supply chain management is a highly complex, multidimensional problem set with virtually endless number of variables for optimization. An Internet enabled supply chain may have just-in-time delivery, precise inventory visibility, and up-to-the-minute distribution-tracking capabilities. Technology advances have enabled supply chains to become strategic weapons that can help avoid disasters, lower costs, and make money. From internal enterprise processes to external business transactions with suppliers, transporters, channels and end-users marks the wide range of challenges researchers have to handle. The aim of this book is at revealing and illustrating this diversity in terms of scientific and theoretical fundamentals, prevailing concepts as well as current practical applications
Malaysian bilateral trade relations and economic growth
This paper examines the structure and trends of Malaysian bilateral exports and imports and then investigates
whether these bilateral exports and imports have caused Malaysian economic growth. Although the structure of
Malaysia’s trade has changed quite significantly over the last three decades, the direction of Malaysia’s trade
remains generally the same. Broadly, ASEAN, the EU, East Asia, the US and Japan continue to be the
Malaysia’s major trading partners. The Granger causality tests have shown that it is the bilateral imports that
have caused economic growth in Malaysia rather than the bilateral exports
Exchange rate misalignments in ASEAN-5 countries
The purpose of this paper is to estimate the exchange rate misalignments for Indonesia, Malaysia, Philippines,
Singapore and Thailand before the currency crisis. By employing the sticky-price monetary exchange rate model
in the environment of vector error-correction, the results indicate that the Indonesia rupiah, Malaysian ringgit,
Philippines peso and Singapore dollar were overvalued before the currency crisis while Thai baht was
undervalued on the eve of the crisis. However, they suffered modest misalignment. Therefore, little evidence of
exchange misalignment is found to exist in 1997:2. In particular, Indonesia rupiah, Malaysia ringgit, Philippines
peso and Singapore dollar were only overvalued about 1 to 4 percent against US dollar while the Thai baht was
only 2 percent undervalued against US dollar
Optimizing transportation systems and logistics network configurations : From biased-randomized algorithms to fuzzy simheuristics
242 páginasTransportation and logistics (T&L) are currently highly relevant functions in any competitive industry. Locating facilities or distributing goods to hundreds or thousands of customers are activities with a high degree of complexity, regardless of whether facilities and customers are placed all over the globe or in the same city. A countless number of alternative strategic, tactical, and operational decisions can be made in T&L systems; hence, reaching an optimal solution –e.g., a solution with the minimum cost or the maximum profit– is a really difficult challenge, even by the most powerful existing computers. Approximate methods, such as heuristics, metaheuristics, and simheuristics, are then proposed to solve T&L problems. They do not guarantee optimal results, but they yield good solutions in short computational times. These characteristics become even more important when considering uncertainty conditions, since they increase T&L problems’ complexity. Modeling uncertainty implies to introduce complex mathematical formulas and procedures, however, the model realism increases and, therefore, also its reliability to represent real world situations. Stochastic approaches, which require the use of probability distributions, are one of the most employed approaches to model uncertain parameters. Alternatively, if the real world does not provide enough information to reliably estimate a probability distribution, then fuzzy logic approaches become an alternative to model uncertainty. Hence, the main objective of this thesis is to design hybrid algorithms that combine fuzzy and stochastic simulation with approximate and exact methods to solve T&L problems considering operational, tactical, and strategic decision levels. This thesis is organized following a layered structure, in which each introduced layer enriches the previous one.El transporte y la logística (T&L) son actualmente funciones de gran relevancia en cual quier industria competitiva. La localización de instalaciones o la distribución de mercancías
a cientos o miles de clientes son actividades con un alto grado de complejidad, indepen dientemente de si las instalaciones y los clientes se encuentran en todo el mundo o en la
misma ciudad. En los sistemas de T&L se pueden tomar un sinnúmero de decisiones al ternativas estratégicas, tácticas y operativas; por lo tanto, llegar a una solución óptima –por
ejemplo, una solución con el mínimo costo o la máxima utilidad– es un desafío realmente di fícil, incluso para las computadoras más potentes que existen hoy en día. Así pues, métodos
aproximados, tales como heurísticas, metaheurísticas y simheurísticas, son propuestos para
resolver problemas de T&L. Estos métodos no garantizan resultados óptimos, pero ofrecen
buenas soluciones en tiempos computacionales cortos. Estas características se vuelven aún
más importantes cuando se consideran condiciones de incertidumbre, ya que estas aumen tan la complejidad de los problemas de T&L. Modelar la incertidumbre implica introducir
fórmulas y procedimientos matemáticos complejos, sin embargo, el realismo del modelo
aumenta y, por lo tanto, también su confiabilidad para representar situaciones del mundo
real. Los enfoques estocásticos, que requieren el uso de distribuciones de probabilidad, son
uno de los enfoques más empleados para modelar parámetros inciertos. Alternativamente,
si el mundo real no proporciona suficiente información para estimar de manera confiable
una distribución de probabilidad, los enfoques que hacen uso de lógica difusa se convier ten en una alternativa para modelar la incertidumbre. Así pues, el objetivo principal de
esta tesis es diseñar algoritmos híbridos que combinen simulación difusa y estocástica con
métodos aproximados y exactos para resolver problemas de T&L considerando niveles de
decisión operativos, tácticos y estratégicos. Esta tesis se organiza siguiendo una estructura
por capas, en la que cada capa introducida enriquece a la anterior. Por lo tanto, en primer
lugar se exponen heurísticas y metaheurísticas sesgadas-aleatorizadas para resolver proble mas de T&L que solo incluyen parámetros determinísticos. Posteriormente, la simulación
Monte Carlo se agrega a estos enfoques para modelar parámetros estocásticos. Por último,
se emplean simheurísticas difusas para abordar simultáneamente la incertidumbre difusa
y estocástica. Una serie de experimentos numéricos es diseñada para probar los algoritmos
propuestos, utilizando instancias de referencia, instancias nuevas e instancias del mundo
real. Los resultados obtenidos demuestran la eficiencia de los algoritmos diseñados, tanto
en costo como en tiempo, así como su confiabilidad para resolver problemas realistas que
incluyen incertidumbre y múltiples restricciones y condiciones que enriquecen todos los
problemas abordados.Doctorado en Logística y Gestión de Cadenas de SuministrosDoctor en Logística y Gestión de Cadenas de Suministro
Shortest Route at Dynamic Location with Node Combination-Dijkstra Algorithm
Abstract— Online transportation has become a basic
requirement of the general public in support of all activities to go
to work, school or vacation to the sights. Public transportation
services compete to provide the best service so that consumers
feel comfortable using the services offered, so that all activities
are noticed, one of them is the search for the shortest route in
picking the buyer or delivering to the destination. Node
Combination method can minimize memory usage and this
methode is more optimal when compared to A* and Ant Colony
in the shortest route search like Dijkstra algorithm, but can’t
store the history node that has been passed. Therefore, using
node combination algorithm is very good in searching the
shortest distance is not the shortest route. This paper is
structured to modify the node combination algorithm to solve the
problem of finding the shortest route at the dynamic location
obtained from the transport fleet by displaying the nodes that
have the shortest distance and will be implemented in the
geographic information system in the form of map to facilitate
the use of the system.
Keywords— Shortest Path, Algorithm Dijkstra, Node
Combination, Dynamic Location (key words