Many valued algebraic structures as measures of comparison

This thesis studies the properties and usability of operators called t-norms, t-conorms, uninorms, as well as many valued implications and equivalences. Into these operators, weights and a generalized mean are embedded for aggregation, and they are used for comparison tasks and for this reason they are referred to as comparison measures. The thesis illustrates how these operators can be weighted with a differential evolution and aggregated with a generalized mean, and the kinds of measures of comparison that can be achieved from this procedure. New operators suitable for comparison measures are suggested. These operators are combination measures based on the use of t-norms and t-conorms, the generalized 3_-uninorm and pseudo equivalence measures based on S-type implications. The empirical part of this thesis demonstrates how these new comparison measures work in the field of classification, for example, in the classification of medical data. The second application area is from the field of sports medicine and it represents an expert system for defining an athlete's aerobic and anaerobic thresholds. The core of this thesis offers definitions for comparison measures and illustrates that there is no actual difference in the results achieved in comparison tasks, by the use of comparison measures based on distance, versus comparison measures based on many valued logical structures. The approach has been highly practical in this thesis and all usage of the measures has been validated mainly by practical testing. In general, many different types of operators suitable for comparison tasks have been presented in fuzzy logic literature and there has been little or no experimental work with these operators.

Tiedon jakamiseen vaikuttavat tekijät asiantuntijatyössä

Yhteiskunnan muuttuessa entistä tietovaltaisemmaksi, tiedon jakaminen nähdään kaikkein merkittävimpänä tietoprosessina organisaation kehittymisen kannalta. Tässä pro gradu -tutkielmassa selvitettiin, mitkä tekijät vaikuttavat tiedon jakamiseen asiantuntijatyössä. Tutkimus toteutettiin tapaustutkimuksena ja aineisto analysoitiin teorialähtöisen sisällönanalyysin avulla. Tutkimuksen tulosten perusteella asiantuntijatyötä tekevien tiedon jakamiseen vaikuttavat tekjiät ovat sisäinen motivaatio, yksilöiden välinen luottamus sekä organisaation rakenne ja kulttuuri. Tutkimuksen mukaan työ itsessään palkitsee ja motivoi tiedon jakamiseen, mutta yksilöiden välillä tulee olla hyväntahtoisuuteen ja pätevyyteen liittyvää luottamusta. Organisaation hierarkkisuus, käytettävissä olevan ajan, yhteisöllisyyden ja arvostuksen puute heikentävät tiedon jakamista. Sitä vastoin organisaation avoin kulttuuri tukee tiedon jakamista. Rahallisen palkitsemisen ei nähty vaikuttavan tiedon jakamiseen.

Reasoning over knowledge-based generation of situations in context spaces to reduce food waste

With the ever-growing amount of connected sensors (IoT), making sense of sensed data becomes even more important. Pervasive computing is a key enabler for sustainable solutions, prominent examples are smart energy systems and decision support systems. A key feature of pervasive systems is situation awareness which allows a system to thoroughly understand its environment. It is based on external interpretation of data and thus relies on expert knowledge. Due to the distinct nature of situations in different domains and applications, the development of situation aware applications remains a complex process. This thesis is concerned with a general framework for situation awareness which simplifies the development of applications. It is based on the Situation Theory Ontology to provide a foundation for situation modelling which allows knowledge reuse. Concepts of the Situation Theory are mapped to the Context Space Theory which is used for situation reasoning. Situation Spaces in the Context Space are automatically generated with the defined knowledge. For the acquisition of sensor data, the IoT standards O-MI/O-DF are integrated into the framework. These allow a peer-to-peer data exchange between data publisher and the proposed framework and thus a platform independent subscription to sensed data. The framework is then applied for a use case to reduce food waste. The use case validates the applicability of the framework and furthermore serves as a showcase for a pervasive system contributing to the sustainability goals. Leading institutions, e.g. the United Nations, stress the need for a more resource efficient society and acknowledge the capability of ICT systems. The use case scenario is based on a smart neighbourhood in which the system recommends the most efficient use of food items through situation awareness to reduce food waste at consumption stage.