Showing 1 - 10 of 62
Purpose Conventional approaches of evaluating spatial layout configurations typically involved universal understandings of aspects like connectivity, proximity and visibility, while possibly discarding both partially true solutions and ranges of parameters affecting detailed spatial relations....
Persistent link: https://www.econbiz.de/10014676414
Purpose – The purpose of this paper is to develop and validate an innovative Fuzzy Recognition Based‐Benefit Estimation Model (FRB‐BEM) to quantify the benefits obtained from a Mid‐Project Review (MPR) (e.g. the Gateway Review Process (GRP)). This is a quantitative assessment to evaluate...
Persistent link: https://www.econbiz.de/10014677470
Purpose – This paper aims to assess the extent to which convergence in institutional regimes is likely to occur, by examining all ten new EU member states in Central and Eastern Europe in terms of their development of comparative advantages in high‐tech export markets either by drawing on...
Persistent link: https://www.econbiz.de/10014731294
Although greedy algorithms are important, nowadays it is well assumed that the solutions they obtain can be used as a starting point for more sophisticated methods. This paper describes an evolutionary approach which is based on genetic algorithms (GA). A constructive heuristic, so-called fuzzy...
Persistent link: https://www.econbiz.de/10012042715
Green procurement is the set of procurement policies held, action taken and relationships formed in response to concerns linked with the natural environment. Green procurement has drawn major attention of supply chain practitioners' and has become the theme of most of the seminars and workshops....
Persistent link: https://www.econbiz.de/10012042982
This paper presents mathematics of the so-called fuzzy greedy evaluation concept which can be integrated into approaches for hard combinatorial optimization problems. The proposed method evaluates objects in a way that combines fuzzy reasoning with a greedy mechanism, thereby exploiting a fuzzy...
Persistent link: https://www.econbiz.de/10012042989
Cloud computing systems are considered complex systems, because of the various classes of services offered for users and the big challenges for providers to meet the increasing demands. Thus, service allocation is a critical issue in cloud computing. Fuzzy modeling is one choice to deal with...
Persistent link: https://www.econbiz.de/10012043384
This paper proposes a cross-entropy measure between dual hesitant fuzzy sets (DHFSs) as an extension of the cross-entropy measures of intuitionistic fuzzy sets. Then the cross-entropy measure between DHFSs is applied to multiple attribute decision making under dual hesitant fuzzy environments....
Persistent link: https://www.econbiz.de/10012044117
NoSQL (Not only SQL) is an efficient database model for storing and manipulating huge quantities of precise data. However, most NoSQL databases scale well as data grows and often are flexible enough to accommodate imprecise and ambiguous data. This comprehensive hands-on guide presents...
Persistent link: https://www.econbiz.de/10012044798
Cloud services are offered independently or combining two or more services to satisfy consumer requirements. Different types of cloud service providers such as direct sellers, resellers and aggregators provide services with different level of service features and quality. The selection of best...
Persistent link: https://www.econbiz.de/10012044802