For many decision problems with uncertainty, triangular intuitionistic fuzzy number is a useful tool in expressing ill-known quantities. This paper develops a novel decision method based on zero-sum game for multiple attribute decision making problems where the attribute values take the form of triangular intuitionistic fuzzy numbers and the attribute weights are unknown. First, a new value ind...

Search engine optimization (SEO) is the process of improving the visibility, volume and quality of traffic to website or a web page in search engines via the natural search results. SEO can also target other areas of a search, including image search and local search. SEO is one of many different strategies used for marketing a website but SEO has been proven the most effective. An Internet mark...

Software navigation during change tasks requires developers to perform numerous search cycles to discover new elements related to their task. In a typical search cycle a developer selects an element of interest, triggers a search for its dependencies, inspects the list of results, and selects a result that appears to be relevant. We are interested in improving the efficiency of developers engag...

The purpose of this study is to explore the ranking of international airlines operation cost control strategies based on empirical studies of an international full-service airlines operation in Taiwan. Cost control has become more and more important for airlines in recent years, especially after experiencing a severe increase in crude oil prices and the 2008 serious financial crisis. In this st...

This paper focuses on selection techniques for best correction of misspelt words at the lexical level. Spelling errors are introduced by either cognitive or typographical mistakes. A robust spelling correction algorithm is needed to cover both cognitive and typographical errors. For the most effective spelling correction system, various strategies are considered in this paper: ranking heuristic...

Learning To Rank (LTR) techniques aim to learn an effective document ranking function by combining several document features. While the function learned may be uniformly applied to all queries, many studies have shown that different ranking functions favour different queries, and the retrieval performance can be significantly enhanced if an appropriate ranking function is selected for each indi...

In this paper, we consider the problem of document ranking in a non-traditional retrieval task, called subtopic retrieval. This task involves promoting relevant documents that cover many subtopics of a query at early ranks, providing thus diversity within the ranking. In the past years, several approaches have been proposed to diversify retrieval results. These approaches can be classified into...

It is a useful premise to assume that every document in a collection and every query issued to an information retrieval (IR) system is geography-dependent. If one can determine what area an article is about (i.e., its’ geographical scope), this information can be used to improve the accuracy with which people, places and organizations named in the article can be located. More importantly, geogr...

The paper addresses the modular design of composite solving strategies for multicriteria ranking (sorting). Here a " scale of creativity " that is close to creative levels proposed by Altshuller is used as the reference viewpoint: (i) a basic object, (ii) a selected object, (iii) a modified object, and (iv) a designed object (e.g., composition of object components). These levels maybe used in v...